专题:Cell Image Analysis Techniques

This cluster of papers covers advanced techniques and tools in bioimage analysis, microscopy, and high-content screening. It includes topics such as machine learning for cellular image analysis, automated neuronal morphology reconstruction, deep learning applications, and phenotypic profiling of cellular responses. The papers also discuss the use of advanced image processing methods and the integration of high-throughput microscopy in drug discovery.
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Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays

article Full Text OpenAlex 1801 FWCI113.464

Scientific discovery in the age of artificial intelligence

article Full Text OpenAlex 1703 FWCI414.2711

Cellpose 2.0: how to train your own model

article Full Text OpenAlex 1462 FWCI272.5493

Cell2location maps fine-grained cell types in spatial transcriptomics

article Full Text OpenAlex 1311 FWCI84.8827

CellMarker 2.0: an updated database of manually curated cell markers in human/mouse and web tools based on scRNA-seq data

article Full Text OpenAlex 1302 FWCI84.7261

Towards a general-purpose foundation model for computational pathology

article Full Text OpenAlex 1299 FWCI298.3076

TrackMate 7: integrating state-of-the-art segmentation algorithms into tracking pipelines

article Full Text OpenAlex 1287 FWCI227.161

scGPT: toward building a foundation model for single-cell multi-omics using generative AI

article Full Text OpenAlex 1172 FWCI182.816

CellChat for systematic analysis of cell–cell communication from single-cell transcriptomics

article Full Text OpenAlex 1120 FWCI177.1227

U-Prithvi: Integrating a Foundation Model and U-Net for Enhanced Flood Inundation Mapping

conference-paper Full Text OpenAlex 1005 FWCI871.6754