Automated Learning of Subcellular Variation among Punctate Protein Patterns and a Generative Model of Their Relation to Microtubules.

Characterizing the spatial distribution of proteins directly from microscopy images is a difficult problem with numerous applications in cell biology (e.g.identifying motor-related proteins) and clinical research (e.g.identification of cancer biomarkers).Here we describe the design of a system that provides automated analysis of punctate protein pa

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State-of-the-art review on various mathematical approaches towards solving population balanced equations in pharmaceutical crystallization process

Crystallization is an important process, which possesses an undeniable role in many chemical industries.In recent years, significant endeavors have been made to increase the efficiency of this process via designing novel crystallizers.Development of numerical models and their efficient solutions is known as an important approach to justify the beha

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