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Found 5 papers, 1 papers with code
Cell Painting Gallery: an open resource for image-based profiling
Image-based or morphological profiling is a rapidly expanding field wherein cells are "profiled" by extracting hundreds to thousands of unbiased, quantitative features from images of cells that have been perturbed by genetic or chemical perturbations.
Reproducible image-based profiling with Pycytominer
Technological advances in high-throughput microscopy have facilitated the acquisition of cell images at a rapid pace, and data pipelines can now extract and process thousands of image-based features from microscopy images.
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions
This benchmark and the improved algorithm offer promising avenues for more accurate and versatile cell analysis in microscopy imaging.
Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images
Various strategies for label-scarce object detection have been explored by the computer vision research community.
CellProfiler plugins -- an easy image analysis platform integration for containers and Python tools
CellProfiler is a widely used software for creating reproducible, reusable image analysis workflows without needing to code.
