... label prompted the development of filoVision. filoVision is an adaptable deep learning platform featuring the tools filoTips and filoSkeleton. filoTips labels filopodia tips and the cytosol using a single tip marker, allowing information extraction without actin or membrane markers. In contrast...

...-microscopy Artificial intelligence Deep learning Data-driven microscopy Fluorescence microscopy Live-cell super-resolution microscopy Fundação Calouste Gulbenkian http://dx.doi.org/10.13039/501100005635 European Research Council http://dx.doi.org/10.13039/100010663...

... of CIN initiation remains limited. We developed a high-throughput, single-cell, image-based pipeline employing deep-learning and spot-counting models to detect CIN by automatically counting chromosomes and micronuclei. To identify CIN-initiating conditions, we used CRISPR activation in human diploid...

... parameters. Many tools have been designed to delimit objects in 2D and, eventually, in 3D in order to define their shapes, their number or their position in nuclear space. Today, the field is driven by deep-learning methods, most of which take advantage of convolutional neural networks. These techniques...

...: scaling deep learning-enabled cellular image analysis with Kubernetes . Nat. Methods 18 , 43 - 45 . 10.1038/s41592-020-01023-0 Barone , L. , Williams , J. and Micklos , D. ( 2017 ). Unmet needs for analyzing biological big data: a survey of 704 NSF principal investigators...