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In situ data collection for macromolecular crystallography has undergone rapid development in the last decade. From routine crystal hit screening in X-ray-friendly SBS-format plates to serial data collection in dedicated setups, its field of application has expanded significantly. The in situ approach has benefitted from progress in beamline instrumentation and automation and from new modes of sample delivery, inspired by serial crystallography using X-ray free-electron lasers. In this review, the various in situ methods available at synchrotron facilities are described with a view to enabling users to make informed decisions regarding their applicability in structural biology or drug discovery projects.

In macromolecular crystallography (MX), in situ data collection refers to a diffraction measurement performed on crystals where and as they grow. In other words, the crystals are not harvested individually from their growth environment, as is typically done in standard MX with a harvesting loop. Thus, in the in situ experiment, the original growth medium and the crystallization compartment remain in place surrounding the crystal during interrogation with the X-ray beam. By contrast, both are removed or minimized in classical loop harvesting protocols to increase diffraction signal-to-noise ratio (SNR) by minimizing background scattering. In the strictest embodiment of an in situ experiment, the crystal growth plate or chamber must remain hermetically sealed from the moment the crystallization experiment is set up and data collection must be done at growth temperature. However, many so-called in situ measurements are made under conditions departing to varying degrees from this limiting definition.

A few examples illustrate the extent to which the in situ label has been used. Jet sample delivery developed at X-ray free electron laser (XFEL) facilities has been considered an in situ-like method. In this case, microcrystals remain suspended in the mother liquor or the lipid cubic phase (LCP) where they grew. However, these samples have been transferred between syringes and reservoirs, sometimes filtered, and finally extruded under pressure into an X-ray chamber that is sometimes under vacuum. These post-growth handling steps accompanied by variations in pressure and temperature can mean that data is collected under conditions that are far removed from in situ. Several methods, sometimes presented as in situ methods, include a mother liquor removal step, such as the Crystal Direct approach1  (see Section 1.2) and several XFEL solid support sample preparation methods, where the mother liquor is blotted2  or sucked away3  to help position crystals into ordered wells. This mother liquor removal distinguishes these preparation methods from in situ experiments.

In this chapter, after a general introduction to in situ experiments (Section 1.1), we will cover the different in situ setups and the evolution of the field, following a historical perspective. In situ experiments date back to the period where X-ray capillaries were used to grow crystals by microdialysis and interface diffusion methods, in order to avoid the difficulties of transferring grown crystals into capillaries for data collection.4  However crystal movement in the capillary often made the technique impractical.5  In the 1990s, García-Ruiz and coworkers formalized gel-acupuncture methods to collect data on in situ counter-diffusion grown crystals in capillaries without any post-growth transfer, at room temperature and under cryogenic conditions.4,5  In 2004, Jacquamet, Ferrer and coworkers demonstrated the first in situ capable automated setup at a synchrotron beamline, where SBS-format crystallization plates were placed in the beam by a robot arm.6  The automated handling of SBS-format plates has spread in many synchrotron facilities as well as to laboratory X-ray instruments since then (Section 1.2), benefiting in particular the field of virus crystallography.7  An intense period of development of in situ-specific setups started in parallel, towards format reduction, microfluidic and on-chip systems (Section 1.3). The latest phase of development has seen the emergence of in situ experiments optimized for serial crystallography and compatible with data collection at cryogenic temperature (Section 1.4).

In situ methods can be used for a variety of purposes at different stages of a project. In the phase of optimizing crystallization conditions, in situ screening can help distinguish between protein and salt or small molecule crystals, as a complement to UV fluorescence and second-order harmonic generation techniques.8  The unique advantage of X-ray screening is the direct access to data collection-relevant information such as diffraction quality, space group and unit cell, which are not provided by optical techniques. In situ screening can therefore help to identify genuine protein crystal hits, to find the best diffracting crystal form in the case of polymorphs, or in the search of different space groups,9  and to diagnose for loss of diffraction quality due to crystal manipulation and/or cryo-cooling. In situ screening can help increase the efficiency of the protein-to-structure pipeline by enabling diffraction-based identification of best conditions and ligand binding state. This is especially valuable for drug discovery applications involving ligand screening.10,11 

In situ experiments are not limited to screening and optimization. In some projects they are used for final data collection and structure solution. This is the case for crystals that cannot be handled with a loop (crystal degradation upon opening of the well or during harvesting) or flash-cooled in liquid nitrogen, e.g. in virus crystallography,7  or for very small crystals, such as virus and in meso-grown membrane protein crystals, where harvesting hundreds of crystals for serial crystallography is time-consuming and may not be practical (see Section 1.4). Due to limitations in the tolerable X-ray dose at room temperature and geometrical constraints imposed by some crystallization containers, it is almost impossible to collect a complete data set from a single crystal in certain in situ setups, as is usually done in standard cryo-crystallography. Accordingly, partial data sets from several crystals must be combined as practiced in micro- and serial crystallography.12  Depending on the sample type, data collection can be performed either using a multi-crystal approach or using serial crystallography methods.13  In the multi-crystal approach, a few partial data sets covering significant angular wedges from a few crystals are merged together. The sorting and merging of data sets are generally performed manually or semi-manually by the crystallographer. In the serial approach, large numbers of small wedges or even still images from many crystals are assembled, which requires automation in data set processing, selection and merging. The serial approach derives from serial femtosecond crystallography (SFX) data collection, where only still images are collected on thousands of randomly oriented small crystals.14,15  In synchrotron-based serial data collection, wedges of typically a few degrees are collected on each crystal. In both cases, data collection of a complete data set relies on the varied or random orientation of crystals for adequate sampling of reciprocal space. Preferential orientation of the crystals on the plate or well surface is therefore to be minimized or compensated for by tilting the sample support during X-ray data collection.

With in situ methods, unnecessary manipulation of crystals by harvesting is avoided. However, harvesting is not always detrimental: clear cases where post-growth treatments such as dehydration increase the diffracting quality have been reported.16  Methods for controlled dehydration and other post-growth treatments in in situ plates have been developed.17  Another characteristic of manual harvesting is the introduction of a possible source of irreproducibility in the experiment, since two crystals are rarely harvested exactly in the same way, even by the same person. This is less of an issue with in situ methods.

Historically, in situ measurements are performed mainly at room temperature (RT) (see Section 1.2). RT data collection is often deemed biologically more relevant. Further, it enables the probing of conformational landscapes, time-resolved studies and chemical reactions in the crystals. Measurements at RT usually result in lower crystal mosaicity. In certain cases, such as with virus crystals, RT data collection is the only option due to crystal fragility and sensitivity to cryo-cooling. Recent developments with thin-film samples (see Section 1.4.1) offer the possibility to perform flash-cooling of in situ samples and to collect data under cryogenic conditions. Cryo-treatment is not compliant with the strict definition of in situ, but low temperature (100 K) data collection has significant advantages that include a 50- to 100-fold increase of the tolerable dose. Further, cryo-cooled samples are easily stored and transported.

Here we list the challenges related to in situ experiments, of which users should be aware when selecting a particular method and planning experiments. The first and foremost challenge is the relatively high scattering background arising from the support and the growth medium surrounding the crystal. This generally results in sharp or diffuse scattering rings or arcs at intermediate-to-low scattering angles (∼3–6 Å). Although in situ setups are usually optimized to reduce such scatter (see Section 1.1.4), background contribution will remain larger for most in situ setups compared to a correctly loop-harvested cryo-cooled crystal.

The second challenge, radiation damage, is not specific to in situ experiments. Detecting and managing radiation damage is also crucial for successful data collection with conventional methods.18  With in situ methods, the problem of radiation damage is pronounced when data collection is done at RT and/or with small crystals. At RT, the tolerable dose per crystal is of the order of a fraction of a MGy,19  while under cryogenic conditions at 100 K a single crystal can take up to about 20 MGy (the so-called Henderson limit20,21 ) for molecular replacement methods, or about 5 MGy for experimental phasing methods.22  In practice, these should be considered as upper dose limits, since many crystals are more sensitive,23  in a manner that depends on heavy atom content, crystal composition and crystallization conditions.

The third issue is the geometrical constraints imposed by in situ plates and supports, which limit the angular range of data that can be collected. The accessible angles vary with the type of plate and the setup. With some plates it is difficult to accurately position the beam on the crystals due to optical refraction by curved or thick plastic surfaces, and/or on the crystallization drops.24  For this reason, plates with flat surfaces are preferred especially for small crystals, although they are not always convenient when surface active agents, such as detergents, are present in the crystallization conditions.

Special beamline equipment is necessary to perform most in situ measurements. Thus, suitable hardware to transport the plate or support into the beam and bespoke software must be available. Synchrotron facilities often have at least one beamline equipped for in situ experiments (Table 1.1). Serial crystallography approaches also require specific data acquisition, processing and merging software to handle the data. It is recommended to process and merge the data online, to monitor and optimize data quality and completeness during data collection.24 

Table 1.1

In situ measurement capabilities reported at various synchrotron facilities.

SynchrotronBeamlineReported in situ capacitiesReferences
APS SBC 19-ID SBS: Goniometer 27, https://www.sbc.anl.gov/ 
APS GM/CA 23ID-B & D Thin-film sandwich 28, http://www.gmca.anl.gov/ 
BESSY II BL14.1 SBS: MD2 goniometer 29, https://www.helmholtz-berlin.de/forschung/oe/np/gmx/ancillary-facilities/insitu-screening_en.html 
DLS I03 SBS: Goniometer http://www.diamond.ac.uk/Beamlines/Mx/Equipment-on-Demand/In-situ-Data-Collection.html 
DLS I24 SBS: Horizontal goniometer http://www.diamond.ac.uk/Beamlines/Mx/Equipment-on-Demand/In-situ-Data-Collection.html 
Thin-film sandwich: on vertical goniometer 
DLS VMXi SBS: Goniometer http://www.diamond.ac.uk/Beamlines/Mx/VMXi.html 
ESRF/FIP BM30 SBS: G-rob robot 6, http://www.fip-bm30a.fr/index.php/trading-hours-and-holidays/manage-diaries/description/10-services-available-on-fip 
ESRF/EMBL ID30B SBS: Goniometer http://www.esrf.eu/id30b 
ESRF ID13 LCP jet 30, http://www.esrf.eu/UsersAndScience/Experiments/XNP/ID13 
KEK Several beamlines SBS: Goniometer 31, http://www2.kek.jp/imss/sbrc/eng/beamline/px.html#beamline 
LNLS W01B-MX2 SBS: G-rob robot http://lnls.cnpem.br/linhas-de-luz/mx2-en/overview/ 
MAX IV BioMax SBS: ISARA robot https://www.maxiv.lu.se/accelerators-beamlines/beamlines/biomax/ 
NSLS II FMX SBS: Goniometer https://www.bnl.gov/ps/beamlines/beamline.php?b=FMX 
NSLS II AMX SBS: Goniometer https://www.bnl.gov/ps/beamlines/beamline.php?b=AMX 
PETRA III/EMBL P14 SBS: Goniometer (CrystalDirect plates) https://www.embl-hamburg.de/services/mx/P14/index.html 
SLS X06DA–PXIII SBS: CATS robot 9, https://www.psi.ch/sls/pxiii/ 
https://www.psi.ch/sls/pxiii/crystallisation-facility 
SLS X06SA-PXI & X10SA-PXII Thin-film sandwich 11, 32, https://www.psi.ch/sls/pxi/ 
LCP jet 
SOLEIL PROXIMA1 SBS: CATS robot http://www.synchrotron-soleil.fr/Recherche/LignesLumiere/PROXIMA1 
Spring-8 BL32XU Thin-film sandwich 33, https://beamline.harima.riken.jp/en/bl_info/bl32xu_info.html 
SynchrotronBeamlineReported in situ capacitiesReferences
APS SBC 19-ID SBS: Goniometer 27, https://www.sbc.anl.gov/ 
APS GM/CA 23ID-B & D Thin-film sandwich 28, http://www.gmca.anl.gov/ 
BESSY II BL14.1 SBS: MD2 goniometer 29, https://www.helmholtz-berlin.de/forschung/oe/np/gmx/ancillary-facilities/insitu-screening_en.html 
DLS I03 SBS: Goniometer http://www.diamond.ac.uk/Beamlines/Mx/Equipment-on-Demand/In-situ-Data-Collection.html 
DLS I24 SBS: Horizontal goniometer http://www.diamond.ac.uk/Beamlines/Mx/Equipment-on-Demand/In-situ-Data-Collection.html 
Thin-film sandwich: on vertical goniometer 
DLS VMXi SBS: Goniometer http://www.diamond.ac.uk/Beamlines/Mx/VMXi.html 
ESRF/FIP BM30 SBS: G-rob robot 6, http://www.fip-bm30a.fr/index.php/trading-hours-and-holidays/manage-diaries/description/10-services-available-on-fip 
ESRF/EMBL ID30B SBS: Goniometer http://www.esrf.eu/id30b 
ESRF ID13 LCP jet 30, http://www.esrf.eu/UsersAndScience/Experiments/XNP/ID13 
KEK Several beamlines SBS: Goniometer 31, http://www2.kek.jp/imss/sbrc/eng/beamline/px.html#beamline 
LNLS W01B-MX2 SBS: G-rob robot http://lnls.cnpem.br/linhas-de-luz/mx2-en/overview/ 
MAX IV BioMax SBS: ISARA robot https://www.maxiv.lu.se/accelerators-beamlines/beamlines/biomax/ 
NSLS II FMX SBS: Goniometer https://www.bnl.gov/ps/beamlines/beamline.php?b=FMX 
NSLS II AMX SBS: Goniometer https://www.bnl.gov/ps/beamlines/beamline.php?b=AMX 
PETRA III/EMBL P14 SBS: Goniometer (CrystalDirect plates) https://www.embl-hamburg.de/services/mx/P14/index.html 
SLS X06DA–PXIII SBS: CATS robot 9, https://www.psi.ch/sls/pxiii/ 
https://www.psi.ch/sls/pxiii/crystallisation-facility 
SLS X06SA-PXI & X10SA-PXII Thin-film sandwich 11, 32, https://www.psi.ch/sls/pxi/ 
LCP jet 
SOLEIL PROXIMA1 SBS: CATS robot http://www.synchrotron-soleil.fr/Recherche/LignesLumiere/PROXIMA1 
Spring-8 BL32XU Thin-film sandwich 33, https://beamline.harima.riken.jp/en/bl_info/bl32xu_info.html 

Since in situ methods are at the interface between crystallization and crystallography, several crystallization-related constraints should also be considered in the choice or design of the in situ setup. Thinner windows will enable faster evaporation of solvent from solutions inside the plates, such that the drops dry quicker.25  Overcoming this issue for crystallization experiments that last for weeks requires either a compromise on the film thickness, a double-sandwich type setup to prevent evaporation (see Section 1.4.1), or a humidified plate storage environment. Special lids have also been designed to slow down evaporation.25  Another point to consider is the compatibility with optical imaging systems (polarized light microscopy, UV fluorescence) to identify crystal hits, and with laboratory liquid handling robotics to set up the drops. Finally, one should bear in mind the influence of interfaces, geometry and drop size on nucleation probabilities and growth processes.26  Optimization of crystallization conditions for a given type of plate or support is often required.

The success of in situ crystallography has been facilitated by the introduction of a number of other technologies. Progress in synchrotron radiation technologies and X-ray optics has led to the introduction of microbeams12,24  with a high flux density to address ever smaller crystals. The development of fast detectors, such as the PILATUS and EIGER detectors, enabled continuous data collection with weakly diffracting crystals.34  Specific hardware has been developed to place in situ supports in the beam (Section 1.2). Beamline controls and software deliver a high level of automation, first introduced as an integrated setup at beamline BM30-FIP,35,36  extending now to the fully automated MASSIF-1 beamline at the European Synchrotron Radiation Facility (ESRF).37  Grid-scan or rastering procedures facilitate localizing crystals invisible by optical methods, identifying the best diffracting crystals or regions of crystals and performing diffraction-based crystal centering,34,38  lately by an automated analysis of the rastering results.39 

With regard to data processing and management, in situ data collection in crystallization plates has been facilitated enormously by powerful multi-crystal merging procedures. Crystal selection40  and clustering methods41,42  have also proven useful, as recently reviewed.43  Data management of the often large number of crystallization trials has also received attention. The recent use of haptic interfaces is one such example.44 

Early on, great effort was invested in optimizing the materials used to manufacture in situ plates and supports. The commercial availability of recently developed low background, UV-friendly specialty polymers, mainly cyclic olefin (co-)polymers, in industrial grades of suitable quality, thickness and affordability, has been integral to the success of the approach.45  The design of new high-throughput in situ consumables often involves materials optimization and polymer processing. The success of a new in situ method is also often correlated to the translation into commercially available consumables, and the establishment of user-friendly, easily reproducible protocols.11,32 

The first demonstration of automated in situ experiments on SBS-format plates, by Jean-Luc Ferrer and coworkers at the FIP-BM30A (French beamline for Investigation of Proteins) at the ESRF in 2004, opened a new paradigm for in situ experiments, inaugurating the era of high-throughput in situ methods. Jacquamet, Ferrer and coworkers6  developed beamline hardware and software to perform in situ data collection directly in the crystallization plate in an easy and efficient manner (Figure 1.1). The SBS format for microplates was established around the year 2000 by the Society for Biomolecular Screening (SBS), now part of the Society for Laboratory Automation and Screening (SLAS), and the American National Standards Institute (ANSI). The goal was to ensure compatibility between plates from different manufacturers and laboratory automation instrumentation for drug discovery research. The 96-well SBS plates are therefore compatible with laboratory robotics used for drop setting in crystallization experiments and are now ubiquitous in crystallization laboratories. Although in situ experiments in SBS plates started mainly as a screening tool and are often called ‘in situ plate screening’, the collection of complete data sets was performed early on, first on single high symmetry crystals6  and then by merging data from a small number of crystals.45  Serial-like data collection of small wedges from a large number of crystals was also later demonstrated.46 

Figure 1.1

(a) The original plate screening setup at beamline FIP-BM30A (ESRF), reproduced from ref. 6. Copyright 2004, with permission from Elsevier.6  (b) The CATS robot arm in position for data collection on a plate at beamline X06DA-PXIII (SLS), reproduced from ref. 9. Copyright 2011 American Chemical Society. (c) The I24 plate screening goniometer at the Diamond Light Source (DLS), reproduced under a Creative Commons License (https://creativecommons.org/licenses/by/2.0) from Axford et al.24  Copyright 2012, International Union of Crystallography. (d) The PLEX system at the Photon Factory. Reprinted from ref. 31 with the permission of AIP Publishing.

Figure 1.1

(a) The original plate screening setup at beamline FIP-BM30A (ESRF), reproduced from ref. 6. Copyright 2004, with permission from Elsevier.6  (b) The CATS robot arm in position for data collection on a plate at beamline X06DA-PXIII (SLS), reproduced from ref. 9. Copyright 2011 American Chemical Society. (c) The I24 plate screening goniometer at the Diamond Light Source (DLS), reproduced under a Creative Commons License (https://creativecommons.org/licenses/by/2.0) from Axford et al.24  Copyright 2012, International Union of Crystallography. (d) The PLEX system at the Photon Factory. Reprinted from ref. 31 with the permission of AIP Publishing.

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In situ data collection has been particularly beneficial in structural biology fields where crystals are fragile and difficult to flash-cool. For instance, virus crystals have large unit cells and weak crystal contacts and are notoriously fragile. It is often difficult to find suitable cryo-cooling conditions for such crystals, and the increase of mosaicity often observed upon cryo-cooling can result in spot overlap due to the large unit cell. For these reasons, most virus structures determined by X-ray crystallography are based on data collection at RT.7,24,47 

Efforts are underway to make in situ plate experiments suitable for ligand screening applications. This includes fragment-based screening, which generally involves large numbers of crystals. Well-diffracting crystals are grown under identical crystallization conditions and are soaked (or co-crystallized) using a library of chemical ligands to determine the degree of binding. For fragment-based screening data set collection, high completeness and/or multiplicity is not always required.45  Ligand addition for in situ-like ligand screening experiments can be performed either using standard liquid handling robots10  or by acoustic droplet ejection (ADE)48  using, for example, the commercial system Labcyte Echo 550, or in-house built setups. The very small volumes (down to a few nanoliters) handled by ADE make it possible to multiply the number of crystallization or soaking trials and therefore to screen more ligands.48  Gelin et al.10  developed a method where the base of each well in the plate is coated with dry ligand. The ligand solubilizes in the dispensed crystallization drop and ideally diffuses into the crystal.

Two types of plate handling hardware exist at beamlines for SBS plate in situ collection: robots and goniometers. An automatic sample changer robot, normally used to exchange cryo-cooled samples, can be equipped with a special gripper for moving SBS plates to and from a multi-plate hotel. The precision and stability of 6-axis industrial robots, commonly used as sample changers, is sufficient to reliably position the plate, and to center and rotate the crystal as a goniometer would do on the beam axis – by combining the 6-axis degrees of freedom to emulate a single axis rotation distinct from the 6th rotation axis. The robot and beamline control software must also be adapted to enable these complex motions. The precision achieved upon rotation of a well-centered crystal is excellent, as shown by the small beam footprint left on a test crystal after a 60° rotation (figure 4D in Pinker and coworkers49 ). Three examples of this type of system are the commercial CATS,50  ISARA and G-Rob45  systems, in use at SLS, BESSY II, Soleil, Max IV and ESRF FIP (Table 1.1). A second approach is to use a dedicated, standard goniometer to move and to rotate the plate. The plate screening goniometer can simply be an adaptor on the main goniometer, or it can be distinct from the main goniometer for single crystal work, in which case fast goniometer switching procedures should be in place. The plate is either fixed manually to the goniometer with an adaptor holder in which the plate is placed or placed by an automatic sample changer. Recent examples (Figure 1.1) of such setups can be found at beamline I2424,51  of the DLS, or the PLEX system at the Photon Factory.31  The MD2 diffractometer can also take SBS plates using an adaptor (Table 1.1). SBS plate handling hardware has been developed for laboratory sources.52  The Rigaku PlateMate system is one such example.

The importance of the material composition and design of the plate for successful in situ data collection is fully appreciated.6  Both the intensity and resolution of the scattering background must be minimized to increase the SNR. In particular, the background around the resolution limit should be minimized to maximize the SNR at the crystal's highest resolution. Amorphous materials are often preferred over crystalline or semi-crystalline materials due to their broader, more diffuse scattering properties. The optical clarity, low birefringence and UV-compatibility, as well as the fabrication-related properties must also be considered. The intensity of the background generated by scattering from an amorphous material depends on several material- and geometry-related parameters:53 

Equation 1.1

where A is an absorption factor (which depends on the absorption coefficient μabs and thickness of the material), V is the illuminated volume (equal to the product of the beam area and the material thickness), ρ is the material mass density and Mw its molecular weight, and fbg is the scattering-angle-dependent structure factor of the material. The proportionality factor, not shown in eqn (1.1), contains factors related to the detector pixel geometry and position, the X-ray beam characteristics, exposure time and physical constants. Upon inspection, eqn (1.1) shows that the background can be reduced by decreasing the material thickness, and selecting materials with suitable absorption and scattering properties, composed preferably of low-Z atoms.

Jacquamet and coworkers6  compared several of the materials available at the time of their work. They recognized the need for the design of special in situ plates, with optimized well geometry and plastic thickness. Such an optimized plate, the Greiner CrystalQuick X45 for sitting-drop experiments, was introduced formally in 2011. The selected material was cyclic olefin copolymer (COC), a specialty plastic with low birefringence properties. The thickness of the well bottom was reduced to 300 μm, and the well shape allowed collection over a total angular range up to 80°. Later a second in situ optimized SBS plate was introduced, the MiTeGen InSitu-1 plate,54  where the drops are directly deposited on a flat COC film of thickness 100 μm. The plates can be used for sitting- or hanging-drop experiments and are compatible with deposition of multiple drops by ADE. It is important to note that water permeability is of concern when using such thin plastic films, meaning that the drops dry faster.25  In the latest in situ plate brought to market, the CrystalDirect plate developed at the European Molecular Biology Laboratory (EMBL) and available from MiTeGen, the COC film thickness has been reduced to 25 μm. The CrystalDirect plate is designed to be compatible with the automated harvesting system of the same name. Here the excess mother liquor is aspirated through a small hole, a pin is glued onto the film, laser photoablation is used to cut the film around the crystals and the glued pin tip and this is followed by immediate flash-cooling.1,55 

Automation compatibility was at the heart of the first plate screening experiments in 2004.6  Further developments logically followed. In 2011, the first integrated plate screening pipeline was established at the Swiss Light Source (SLS) beamline X06DA-PXIII.9  In this setup, in addition to a simple short-term plate hotel inside the hutch, the sample changer has direct access to the Formulatrix Rock Imager RI 1000 plate hotel located in the adjacent crystallization facility. A 4-axis robot shuttles the plates through the radiation safety wall between the crystallization facility and beamline hutch. Using this automated system, based on the online access of drop imaging results from the automated imager, users can perform targeted in situ diffraction-based screening of their crystallization plates placed in the incubator without any onsite intervention after the setup of the plate. This arrangement facilitates fast feedback on the diffraction quality of the crystals, eliminates the need for risky plate transport or shipping, and enables fully remote plate screening operation. In addition, the X06DA-PXIII setup allows fast (2 minute) exchange by the users between standard cryogenic data collection and in situ screening mode.

Following this lead, the VMXi beamline,56  a microfocus beamline dedicated fully to in situ plate screening and data collection, has been constructed at DLS. Two Formulatrix Rock Imagers set at two different incubation temperatures are installed in the beamline hutch and are directly accessed by the plate changer robot, which is mounted on a large linear axis. A system for maintaining temperature control on the plate during data collection is also foreseen. This beamline is expected to operate on a fully automated basis, where users mark the positions of interest on the images from the Rock Imager.

The SBS format had its origins in automated laboratory equipment for liquid handling. In parallel to SBS-format in situ developments, there have also been in situ developments that use non-SBS formats, better adapted to data collection with standard goniometers at synchrotrons. These setups are often designed for direct data collection rather than screening. The departure from the SBS format goes generally in the direction of a format size reduction, both in the overall footprint, better compatible with crowded sample environments at beamlines, and in the crystallization trial dimensions, as with microfluidic setups. We have here arbitrarily distinguished between small format multi-crystal holders for in situ experiments and more classical microfluidics setups.

The X-chip (MiTeGen61 ) developed by Kisselman et al.57  is a small plastic chip with drop positions marked, where micro-batch under oil crystallization trials can be set up (Figure 1.2a,b). Each drop location is defined by concentric hydrophilic–hydrophobic patterned rings, which ensure good pinning of the water-based crystallization drop and the oil cover layer. The crystallization drop is typically a 50 : 50 by volume mix of protein and precipitant solution (∼500 nl total volume), covered with ∼1 μl high viscosity oil (paraffin or a paraffin/silicon oil combination, typically). The drops will evaporate after days to weeks, depending on the oil. The chip itself absorbs about 30% of the beam (at 12.4 keV) with its 375 μm thickness and the oil contributing to the absorption and background. Nevertheless, Se-SAD phasing data collection was successfully demonstrated using this setup. To date, all data collection has been done at RT. The chip is fixed on a magnetic base compatible with standard goniometer heads, and the chip dimensions do not exceed this footprint, so that the X-chip is in principle compatible with any standard beamline setup.

Figure 1.2

(a) X-CHIP with 24 wells mounted on a goniometer, reproduced under a Creative Commons License (https://creativecommons.org/licenses/by/2.0) from Kisselman et al.57  Copyright © Kisselman et al. 2011. (b) Droplet-based microfluidic device for Laue diffraction on in situ grown glucose isomerase crystals, reproduced under a Creative Commons License (https://creativecommons.org/licenses/by/2.0) from Heymann et al.58  Copyright © Michael Heymann et al. 2014. (c) On-chip counter diffusion chip (A), and channels with crystals of thaumatin (B), bovine insulin (C), a plant virus (D) and turkey egg-white lysozyme (E). Reproduced from Dhouib et al.59  with permission from The Royal Society of Chemistry. (d, e) High density multi-crystal grids with in situ tray, reproduced under a Creative Commons License (https://creativecommons.org/licenses/by/2.0) from Baxter et al.60 

Figure 1.2

(a) X-CHIP with 24 wells mounted on a goniometer, reproduced under a Creative Commons License (https://creativecommons.org/licenses/by/2.0) from Kisselman et al.57  Copyright © Kisselman et al. 2011. (b) Droplet-based microfluidic device for Laue diffraction on in situ grown glucose isomerase crystals, reproduced under a Creative Commons License (https://creativecommons.org/licenses/by/2.0) from Heymann et al.58  Copyright © Michael Heymann et al. 2014. (c) On-chip counter diffusion chip (A), and channels with crystals of thaumatin (B), bovine insulin (C), a plant virus (D) and turkey egg-white lysozyme (E). Reproduced from Dhouib et al.59  with permission from The Royal Society of Chemistry. (d, e) High density multi-crystal grids with in situ tray, reproduced under a Creative Commons License (https://creativecommons.org/licenses/by/2.0) from Baxter et al.60 

Close modal

More recently, Baxter et al.60  introduced multi-crystal grids compatible with a home-developed tray for in situ crystal growth by vapor diffusion (Figure 1.2d,e). The grids consist of a laser-cut polycarbonate sheet of 100 to 200 μm thickness, with an array of holes, backed with a 5 μm polycarbonate foil. The holes are 125 to 400 μm in diameter. The grids are fixed on standard magnetic bases. In the in situ setup, the grid holes are filled with the protein solution and precipitant mixture, either with a liquid handling robot or by ADE. The grids are then installed in the vapor diffusion chamber, sealed with rubber O-rings and a removable lid. The chamber is opened after crystal growth. This type of multi-crystal mount is suitable for goniometer-based data collection both at synchrotrons and XFELs.62 

ADE-assisted preparation of in situ samples has the potential for ligand or fragment screening experiments, as demonstrated by Yin and coworkers with in situ experiments set up on micromeshes.63  Previously, Berger and coworkers64  have shown that it is possible to grow crystals directly in a loop and to cryo-cool them.

Microfluidics is the technique of choice for manipulating small volumes of liquids in a controlled manner. These in situ setups offer both the possibility to screen for various crystallization conditions and to collect diffraction data. Three types of on-chip crystallization experiments with in situ diffraction capabilities can be distinguished: free interface diffusion (FID), counter-diffusion and droplet-based batch. Most devices designed for on-chip data collection use COC as an X-ray-friendly material. However, new materials such as graphene have been tested and are of interest for their water-impermeability and ultralow-background properties.65 

The main commercial option for FID microfluidics experiments is the Topaz chip in SBS format by Fluidigm,66  which has been reported to be diffraction-compatible.9  The Topaz system relies on the use of pressure-activated valves which bring into contact the preloaded precipitant and protein solutions, in up to 96 different conditions. FID experiments are characterized by small reaction chambers in which equilibration by diffusion is achieved relatively quickly and without convective mixing. As a result, the crystals produced by FID are potentially better ordered, and the trajectory in the crystallization phase diagram is better controlled compared to batch experiments.67  Multilayer valve-based microfluidic devices optimized for in situ diffraction have also been reported,68  with applications in Laue diffraction69  and for in meso crystal growth.70  Microfluidic FID experiments can screen conditions using small volumes, but the devices are usually difficult or expensive to fabricate and require a pump to operate.

Counter-diffusion differs from FID by the establishment of a gradient of conditions, by diffusion of chemical species over larger distances than in FID. In a single experiment a continuum of crystallization conditions is probed. Counter-diffusion in capillaries was among the first in situ diffraction setups,4,5  and microfluidics soon appeared as a natural scale-down option, while offering more flexibility for channel design. Two groups, Ng and coworkers71  and Dhouib and coworkers,59  developed in parallel in situ counter-diffusion microfluidic chips. The device by Ng and coworkers71  consists of single channels, and is commercialized by Greiner BioOne under the name CrystalSlide. Four CrystalSlides can be presented to the beam in a special SBS-format holder. In the commercial version, individual channels can be separated and mounted on a magnetic base.72  The device by Dhouib and coworkers,59  as well as the ChipX by Pinker and coworkers,49  offers the possibility to screen different precipitant formulations against a single protein solution via channel branching (Figure 1.2c). The CrystalHarp system is an array of polyimide-coated quartz capillaries presented in SBS format,9  commercialized by Molecular Dimensions.73  Counter-diffusion devices are generally filled using pipettes, thus not requiring pump equipment.

Droplet-based microfluidics crystallization experiments are essentially microbatch-under-oil experiments. Each nanoliter trial droplet is separated from the others by a continuum of fluorocarbon oil. The droplets are produced by mixing two or more aqueous solutions, typically protein solution, buffer and precipitant, at the junction where the water-in-oil emulsion is created. The droplets are then stored on the device. Pumping equipment and careful flow or pressure control are required to create the droplets and to vary the crystallization conditions. In the initial in situ droplet-based microfluidics measurements,74  droplets were produced in devices made from PDMS, and stored for data collection in a 180 μm inner diameter glass capillary coupled to the device. For in situ data collection, the capillary containing the droplets was cut and sealed, and fixed on a magnetic base. The commercial CrystalCard device,75,76  by Protein BioSolutions, works on the same principle. The crystals produced can be harvested or measured in situ, either directly inside the chip or by coupling with a capillary.77  The Plug Maker system includes the pumping equipment and automated controls needed to use the CrystalCard devices. More recently, other X-ray-friendly chips for droplet-based in situ experiments have been designed by Heymann et al.,58  using thin COC films for device fabrication. The suitability of the device for serial Laue diffraction data collection at RT was demonstrated. The effects of a confined droplet environment on nucleation and crystallization processes were studied in detail.78  It was found that a preliminary screening step makes it possible to find conditions where only a single crystal per droplet is obtained, which is an optimal situation for data collection. This was attributed to a confinement-induced negative feedback on the nucleation probability after the first nucleus appeared.

In recent years, a new class of in situ setups has been developed, that we will refer to here as thin-film sandwiches to distinguish them from the previously described in situ setups. The motivation for these new developments is to offer a user-friendly setup that can be prepared with standard crystallization equipment and that is compatible with in situ serial crystallography. The principle of thin-film sandwich setups is to perform the crystallization trial in a confined space between two thin, X-ray compatible films. To avoid dehydration caused by water permeability of the film, the sandwich is enclosed in a second thick glass or plastic sandwich for the duration of the crystallization experiment and this is removed just before data collection (Figure 1.3). These methods are appropriately called double-sandwich methods. The thin-film sandwich plate has an SBS 96-well plate format that is compatible with laboratory drop setting robotics. In contrast to SBS in situ plates (Section 1.2), individual wells can be easily removed from the plate. This allows for direct mounting of wells on standard goniometers. Importantly, individual wells can be flash-cooled in liquid nitrogen, which extends in situ crystallography from mainly a screening technique at RT to a routine data collection method at cryogenic temperature. The wells can be fixed on standard pins, flash-cooled, shipped in a dry-shipper and mounted on a goniometer with an automated sample changer as commonly practiced in single crystal cryo-crystallography. Therefore, beam interrogation on in situ thin-film sandwiches can be performed either at RT11  or under cryogenic conditions.32  The flat geometry also offers a potentially larger data collection angular range compared to SBS in situ plates with curved wells, which is particularly attractive for application in the emerging serial crystallography field. Clearly-explained procedures for plate setup and easy-to-handle commercial solutions are now available,11,32  providing thin-film sandwich methods with opportunities for rapid expansion and wide-spread use.

Figure 1.3

Schematic (a) and picture (b) of a well of the IMISX plate, reproduced under a Creative Commons License (https://creativecommons.org/licenses/by/2.0) from Huang et al.11  (c) Cryo-cooled COC IMISX well at the X06SA-PXI beamline at the SLS, reproduced under a Creative Commons License (https://creativecommons.org/licenses/by/2.0) from Huang et al.32  (d) Room temperature COP double sandwich setup at DLS I24, reproduced under a Creative Commons License (https://creativecommons.org/licenses/by/2.0) from Axford et al.79  (e) Mylar double sandwich setup at the APS GM/CA beamlines, reproduced from ref. 28 (http://pubs.acs.org/doi/abs/10.1021/acs.cgd.6b00950), with permission from the American Chemical Society.28 

Figure 1.3

Schematic (a) and picture (b) of a well of the IMISX plate, reproduced under a Creative Commons License (https://creativecommons.org/licenses/by/2.0) from Huang et al.11  (c) Cryo-cooled COC IMISX well at the X06SA-PXI beamline at the SLS, reproduced under a Creative Commons License (https://creativecommons.org/licenses/by/2.0) from Huang et al.32  (d) Room temperature COP double sandwich setup at DLS I24, reproduced under a Creative Commons License (https://creativecommons.org/licenses/by/2.0) from Axford et al.79  (e) Mylar double sandwich setup at the APS GM/CA beamlines, reproduced from ref. 28 (http://pubs.acs.org/doi/abs/10.1021/acs.cgd.6b00950), with permission from the American Chemical Society.28 

Close modal

Careful selection of the thin film material is necessary to minimize the absorption and diffraction background contribution. A material with negligible absorption and background scattering would be ideal. However, in practice, it is sufficient if the absorption and background scattering of the thin film is low in comparison to the contribution from the crystallization medium. In addition, particular care must be taken to minimize the background scattering near the diffraction resolution limit of the crystals, where the diffraction signals are weak. This is usually around 2.5–4 Å for most targets. Plastic films are often used for their low cost, easy handling and the commercial availability of films with relatively low thicknesses. Nonetheless, they can have ring-featured background28  and their water-tightness is often relatively low. Reported film variants include 25 μm COC,11  13 μm cyclic olefin polymer (COP),79  8 μm Kapton80  and 3.5 μm Mylar.28  The currently available commercial setups use 25 μm COC (IMISX™ by MiTeGen81 ) and 40 μm plastic film (DiffraX™ by Molecular Dimensions82 ). Other materials such as silicon nitride membranes, with sub-micrometer to nanometer thicknesses and low water permeability, have also been used. However, these are fragile, difficult to handle, are more expensive,83  and are used mainly for data collection purposes. The thickness of the spacer between the two thin films in the sandwich defines sample thickness. The spacer thickness is therefore a major parameter in the optimization of background. The spacer thicknesses reported in the literature range from 50 to 140 μm. Commercial setups come with 140 μm (IMISX™ by MiTeGen81 ) and 100 μm (DiffraX™ by Molecular Dimensions82 ) spacers. In the DiffraX™ setup by Molecular Dimensions, the spacer is already fixed on the base film for ease of handling. Thinner spacers are commercially available. However, issues of preferential orientation of crystals, influence on the crystallization conditions and difficulty of handling have been reported with thinner spacers.28 Figure 1.4 shows representative background curves corresponding to the contribution of each of the components of the thin-film sandwich in the current IMISX™ setup by MiTeGen. The COC film has maximum scatter at intermediate resolution (4–6 Å), while at higher scattering angles the matrix (LCP and precipitant solution) gives the most significant contribution because of the spacer thickness. Thin silicon nitride has virtually zero background, which becomes beneficial compared to plastic films in cases where the spacer used is relatively thin. Dedicated holders for securing the sample on standard magnetic goniometers have been developed by several groups28,79  and some are commercially available.

Figure 1.4

Representative background contribution curves from the different components of a typical IMISX plate: 2×25 μm COC, 140 μm LCP or precipitant matrix (from the spacer thickness). The contribution curves were obtained by deconvolution from total background data taken at various points of the well. For comparison, the contribution of 1 μm silicon nitride is also shown, as well as the scattering from 15 mm of direct beam path in air (obtained by subtraction from images taken with two different beamstop distances). The data was measured at beamline X06SA-PXI of the SLS, at 12.67 keV, 1 s exposure with flux of 4×1011 ph s−1, beam size 20 μm×10 μm, detector distance 400 mm, and beamstop distances 10 and 25 mm.

Figure 1.4

Representative background contribution curves from the different components of a typical IMISX plate: 2×25 μm COC, 140 μm LCP or precipitant matrix (from the spacer thickness). The contribution curves were obtained by deconvolution from total background data taken at various points of the well. For comparison, the contribution of 1 μm silicon nitride is also shown, as well as the scattering from 15 mm of direct beam path in air (obtained by subtraction from images taken with two different beamstop distances). The data was measured at beamline X06SA-PXI of the SLS, at 12.67 keV, 1 s exposure with flux of 4×1011 ph s−1, beam size 20 μm×10 μm, detector distance 400 mm, and beamstop distances 10 and 25 mm.

Close modal

Thin-film methods were developed originally for in meso or LCP crystallization, since the high viscosity of the mesophase in which crystallization takes place makes it difficult to harvest crystals, and the method often yields small crystals. The sandwich film, of controlled thickness and flat geometry, provides a conveniently rigid scaffold with which to handle the sample, and to clearly view the crystals just as with standard glass LCP plates. On the other hand, thanks to the mesophase viscosity, handling of the samples is possible without perturbing the crystal growth environment. It has been demonstrated that thin-film sandwich setups are compatible with crystallization and data collection for water soluble proteins as well, with and without a mesophase growth medium.28,79 

Data collection and screening are typically performed in the same way in thin-film sandwich setups. Small wedges of data are collected on a large number of micro-crystals in serial fashion at a microfocus beamline. This mode of data collection is very well suited for full automation in combination with rastering. Examples of such automated serial collection utilities include the MeshAndCollect system39  at the ESRF, the Zoo system84  at SPring-8 and the CY+ system at SLS (unpublished).

Thin-film sandwich setups have been demonstrated by Huang et al.11,32  to be compatible with data collection for experimental phasing. This includes bromine and native SAD phasing of various proteins. Key to the success of the process was the accumulation of enough data to extract weak anomalous signals. Schubert et al.80  have explored the suitability of the setup for time-resolved dynamic studies at RT, using a dose-dependent study of the progress of radiation damage on a model protein as an example. The number of crystals required for a complete data set depends on the conditions (RT or cryo), crystal size, space group and phasing method. For example, in the work of Huang et al., in the case of lysozyme at RT,11  about 100 crystals of around 20 μm in size from 2 wells were needed to solve the structure by molecular replacement, 200 crystals from 4 wells were needed for bromide single wavelength anomalous diffraction (SAD) phasing, while 1000 crystals of from 12 wells were needed for native SAD phasing. Under cryogenic conditions,32  only a handful of crystals were needed in similar circumstances. For instance, only six 30 μm crystals were required to solve an insulin structure by native SAD. For membrane proteins, significantly more crystals are generally required due to their smaller size, weaker diffraction and enhanced radiation sensitivity. Typically, with a microfocused beam, a few images per crystal can be obtained at RT, and a partial data set under cryogenic conditions, depending on the radiation damage threshold.

The liquid manipulation methods briefly covered in this section might be considered in situ by the absence of manual crystal handing. Post-crystal growth, ADE methods are an emerging sample delivery scheme. They come with a few variants, but all involve the use of acoustic waves of defined frequency propagating through a liquid suspension to deform the surface so as to create droplets of controllable size. Crystals can be trapped in the droplets, which are either presented directly to the beam, ideally in a drop-on-demand fashion,85  or are deposited on a conveyor belt or tape drive.86,87,98  Another variant involves trapping the drop in an acoustic standing wave field.88  However, acoustic droplet manipulation can be difficult in the presence of surfactants, as it is often the case for crystallization of membrane proteins in solution.

Inherited from XFEL sample delivery techniques, injection methods can be compared to in situ methods, at least when the crystals are not filtered, pressurized or transferred to or mixed with a different matrix after crystal growth.89  This corresponds to cases of microcrystals grown in liquid by batch methods and directly injected in a capillary90  or in a microfluidic trap.91  Electrospinning injection92,93  is another liquid delivery technique where mixing is not required. Crystals grown in LCP can also be injected sufficiently slowly for synchrotron serial data collection30,94,95  using a high-viscosity injector. Injection delivery methods have been covered by several previous reviews,96  to which the interested reader is referred. Manipulation of microcrystals often involves pipetting, which can be considered as relatively mild handling compared to standard harvesting.97 

In this chapter we have covered the wide variety of in situ crystal growth and diffraction setups available, including SBS-format plates, microfluidics, and thin-film sandwich methods. In situ method development is a dynamic field, where new approaches, materials and equipment are being introduced by user groups and facilities on a regular basis. All the methods covered here will continue to benefit from progress in materials manufacturing, for further optimization of thickness and background properties of plates and films.

The development of synchrotron sources will give access to increasingly higher flux densities with the emergence of diffraction limited storage rings at 4th generation synchrotrons. These include the new MAX IV facility in Sweden and the planned upgrades at many 3rd generation sources. The low emittance of this new type of facility naturally increases the flux density and makes it easier to obtain stable microfocused beams useful for in situ data collection. Also on the horizon are ‘pink beam’ beamlines. These provide bandwidths of the order of 0.1–1% via multilayer monochromator, in contrast to silicon (111) crystal monochromators with a bandwidth of ∼0.02%. The wider bandwidth results in an increase of flux density but also broadens reflections and increases scattering background, which might lower the SNR of weak reflections and create problems due to reflection overlap when used with large unit cell crystals.

Future developments in in situ data collection will aim to optimize SNR for smaller crystals and to improve experimental phasing possibilities, in particular for thin-film sandwich setups. In situ experimental phasing using heavy atom derivatives and native lighter anomalous scatterers (sulfur, phosphorous, calcium, etc.) has already been demonstrated. However, measurement of very small anomalous differences still requires large amounts of data and careful optimization of the SNR, and radiation damage remains an issue. Improvements in crystallization setups and materials, beamline automation and data processing will contribute to making serial experimental phasing a more routine data collection method. One of the next avenues to explore will be the use of serial in situ data collection for ligand screening and fragment based drug design. This type of high-throughput application will require improved automation of data collection and data processing. Finally, serial in situ techniques call for specific user training to make the new techniques available to all. Towards this end, detailed protocols have been published, including instructional videos,11,32  and training workshops take place regularly in different facilities.

We acknowledge Laura Vera, May Marsh and Chia-Ying Huang for stimulating discussions.

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