An automated image-collection system for crystallization experiments using SBS standard microplates

Bröstromer, Erik; Nan, Jie; Su, Xiao Dong

doi:10.1107/s0907444906042442

Cited by 10 publications

(5 citation statements)

References 5 publications

(7 reference statements)

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“…The Su lab has started to establish an SG platform several years ago at the level of a university laboratory [201, 202], adopting automation and HTP techniques from other SG centers, and further developing crystallization tools and imaging equipment etc. methods.…”

Section: Recent and Future Perspectives: Structural Genomics And X-ramentioning

confidence: 99%

Protein crystallography from the perspective of technology developments

Terwilliger

Liljas

et al. 2014

Crystallography Reviews

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Early on, crystallography was a domain of mineralogy and mathematics and dealt mostly with symmetry properties and imaginary crystal lattices. This changed when Wilhelm Conrad Röntgen discovered X-rays in 1895, and in 1912 Max von Laue and his associates discovered X-ray irradiated salt crystals would produce diffraction patterns that could reveal the internal atomic periodicity of the crystals. In the same year the father-and-son team, Henry and Lawrence Bragg successfully solved the first crystal structure of sodium chloride and the era of modern crystallography began. Protein crystallography (PX) started some 20 years later with the pioneering work of British crystallographers. In the past 50-60 years, the achievements of modern crystallography and particularly those in protein crystallography have been due to breakthroughs in theoretical and technical advancements such as phasing and direct methods; to more powerful X-ray sources such as synchrotron radiation (SR); to more sensitive and efficient X-ray detectors; to ever faster computers and to improvements in software. The exponential development of protein crystallography has been accelerated by the invention and applications of recombinant DNA technology that can yield nearly any protein of interest in large amounts and with relative ease. Novel methods, informatics platforms, and technologies for automation and high-throughput have allowed the development of large-scale, high efficiency macromolecular crystallography efforts in the field of structural genomics (SG). Very recently, the X-ray free-electron laser (XFEL) sources and its applications in protein crystallography have shown great potential for revolutionizing the whole field again in the near future.

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Section: Recent and Future Perspectives: Structural Genomics And X-ramentioning

confidence: 99%

Protein crystallography from the perspective of technology developments

Terwilliger

Liljas

et al. 2014

Crystallography Reviews

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“…Most video collection products are thin client mode, that is, video capture terminal only carry out image collection and simple image coding and then sends image data to PC for processing [13] [14]. For application of human driving skill models in this mode, image should be captured and be sent to PC for processing, and then the processing results should be sent to controller of the automatic driving system, all these should be done in real time.…”

Section: Controller Design Based On Omap3530mentioning

confidence: 99%

Automatic Driving System Based on Embedded Microcontroller Using Human Skill Models

Ma¹,

Yang²,

Zhan³

et al. 2011

JCP

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<p>In the previous work, the authors proposed an efficient method to abstract human skill based on HHARX model, and successfully applied the obtained human skill models in an automatic driving system of a radio-controlled vehicle based on PC. This paper proposes a method to reconstruct the driving system based on embedded microcontroller OMAP3530. In the system, Omap3530 realize all the control functions except for model identification, such as real time image collection and processing, obstacle position detection, automatic driving environmental parameters computing, driving control commands computing using human driving skill models, radio-controlled vehicle real time driving control, and so on. The obtained driving system can drive the small radio-controlled vehicle automatically without PC according the human driving skill models, the flexibility and area of application of human skill models can be improved efficiently.</p>

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“…For most academic laboratories, however, systems of this type are prohibitively expensive. A system for screening for protein crystals was described in 2007 (Brostromer et al, 2007), but this required some specially fabricated parts and there was insufficient detail for users to build their own copy of the device. In recent years, the cost of 3D printers and computer numerical control (CNC) machines has decreased significantly.…”

Section: Introductionmentioning

confidence: 99%

AMi: a GUI-based, open-source system for imaging samples in multi-well plates

Bohm

2019

Acta Cryst Sect F

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Described here are instructions for building and using an inexpensive automated microscope (AMi) that has been specifically designed for viewing and imaging the contents of multi-well plates. The X, Y, Z translation stage is controlled through dedicated software (AMiGUI) that is being made freely available. Movements are controlled by an Arduino-based board running grbl, and the graphical user interface and image acquisition are controlled via a Raspberry Pi microcomputer running Python. Images can be written to the Raspberry Pi or to a remote disk. Plates with multiple sample wells at each row/column position are supported, and a script file for automated z-stack depth-of-field enhancement is written along with the images. The graphical user interface and real-time imaging also make it easy to manually inspect and capture images of individual samples.

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An automated image-collection system for crystallization experiments using SBS standard microplates

Cited by 10 publications

References 5 publications

Protein crystallography from the perspective of technology developments

Protein crystallography from the perspective of technology developments

Automatic Driving System Based on Embedded Microcontroller Using Human Skill Models

AMi: a GUI-based, open-source system for imaging samples in multi-well plates

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