AUTOMATED LEARNING OF SUBCELLULAR VARIATION AMONG PUNCTATE PROTEIN PATTERNS AND A GENERATIVE MODEL OF THEIR RELATION TO MICROTUBULES.

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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Self-activated superhydrophilic green ZnIn2S4 realizing solar-driven overall water splitting: close-to-unity stability for a full daytime

Abstract Engineering an efficient semiconductor to sustainably produce green hydrogen via solar-driven water splitting is one of the cutting-edge strategies for carbon-neutral energy ecosystem.Herein, a superhydrophilic green hollow ZnIn2S4 (gZIS) was fabricated to realize unassisted photocatalytic overall water splitting.The hollow hierarchical fr

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