Abstract: An automated macromolecular method and system for detecting crystals in two-dimensional images, such as light microscopy images obtained from an array of crystallization screens. Edges are detected from the images by identifying local maxima of a phase congruency-based function associated with each image. The detected edges are segmented into discrete line segments, which are subsequently geometrically evaluated with respect to each other to identify any crystal-like qualities such as, for example, parallel lines, facing each other, similarity in length, and relative proximity. And from the evaluation a determination is made as to whether crystals are present in each image.

Abstract: An automated macromolecular method and system for detecting crystals in two-dimensional images, such as light microscopy images obtained from an array of crystallization screens. Edges are detected from the images by identifying local maxima of a phase congruency-based function associated with each image. The detected edges are segmented into discrete line segments, which are subsequently geometrically evaluated with respect to each other to identify any crystal-like qualities such as, for example, parallel lines, facing each other, similarity in length, and relative proximity. And from the evaluation a determination is made as to whether crystals are present in each image.

Abstract: A relational database management system for automated random crystallization screening systems so as to provide facilitated data tracking, maintenance, and analysis. The system includes a database server module capable of storing data; an ARCS module having a crystallization screen design engine capable of generating random crystallization screens and associated crystallization experiments, and a data entry and query applications module capable of passing data between the database server module and a user. The database server module operates to correlate the data received from the ARCS module and the data entry and query applications module with sample data, to organize the data so as to systematically reveal, for example, conditions that do and do not lead to crystal growth.

Abstract: A robotic CCD microscope and procedures to automate crystal recognition. The robotic CCD microscope and procedures enables more accurate crystal recognition, leading to fewer false negative and fewer false positives, and enable detection of smaller crystals compared to other methods available today.

Abstract: A system for crystallization of a protein sample comprising a first mixing cell, a reagent cocktail that is adapted to be added to the first mixing cell, a second mixing cell with the protein sample adapted to be added to the second mixing cell, and a transfer device between the first mixing cell and the second mixing cell. The transfer device comprises structure that allows the reagent cocktail in the first mixing cell to flow into the second mixing cell and mix with the protein sample and allows the protein sample in the second mixing cell to flow into the first mixing cell and mix with the reagent cocktail. The mixture of the reagent cocktail and the protein sample are allowed to incubate to produce protein crystals.

Abstract: A method of establishing liquid classes of complex mixtures for liquid handling equipment. The mixtures are composed of components and the equipment has equipment parameters. The first step comprises preparing a response curve for the components. The next step comprises using the response curve to prepare a response indicator for the mixtures. The next step comprises deriving a model that relates the components and the mixtures to establish the liquid classes.

Abstract: A kit for prescreening protein concentration for crystallization includes a multiplicity of vials, a multiplicity of pre-selected reagents, and a multiplicity of sample plates. The reagents and a corresponding multiplicity of samples of the protein in solutions of varying concentrations are placed on sample plates. The sample plates containing the reagents and samples are incubated. After incubation the sample plates are examined to determine which of the sample concentrations are too low and which the sample concentrations are too high. The sample concentrations that are optimal for protein crystallization are selected and used.

Abstract: Methods, compositions, and kits for the cell-free production and analysis of proteins are provided. The invention allows for the production of proteins from prokaryotic sequences or eukaryotic sequences, including human cDNAs using PCR and IVT methods and detecting the proteins through fluorescence or immunoblot techniques. This invention can be used to identify optimized PCR and WT conditions, codon usages and mutations. The methods are readily automated and can be used for high throughput analysis of protein expression levels, interactions, and functional states.