Cellpose: a generalist algorithm for cellular segmentation
2020年12月14日 · Here we introduce a generalist, deep learning-based segmentation method called Cellpose, which can precisely segment cells from a wide range of image types and does …
Whole-cell segmentation of tissue images with human-level ... - Nature
2021年11月18日 · We generated whole-cell segmentation labels for 15 of these images manually using HH3 to define the nucleus and CD3, CD14, CD56, HLAG and vimentin to define the …
[2311.11004] A Foundation Model for Cell Segmentation - arXiv.org
2023年11月18日 · We train an object detector, CellFinder, to automatically detect cells and prompt SAM to generate segmentations. We show that this approach allows a single model to …
CellSeg: a robust, pre-trained nucleus segmentation and pixel ...
2022年1月18日 · CellSeg is a robust cell segmentation software for analyzing highly multiplexed tissue images, accessible to biology researchers of any programming skill level. Tissue …
LIVECell—A large-scale dataset for label-free live cell segmentation
2021年8月30日 · Here, we present LIVECell, a large, high-quality, manually annotated and expert-validated dataset of phase-contrast images, consisting of over 1.6 million cells from a …
A deep learning-based algorithm for 2-D cell segmentation in …
2018年10月3日 · In this work, we focused on whole cell segmentation in 2D microscopy images where the cytoplasm appears bright, the background is dark, while the nucleus has little or no …
ST-CellSeg: Cell segmentation for imaging-based spatial ... - PLOS
2024年6月27日 · In this study, we propose ST-CellSeg, an image-based machine learning method for spatial transcriptomics that uses manifold for cell segmentation and is novel in its …
A Systematic Survey on Biological Cell Image Segmentation and Cell …
2024年6月28日 · Main objectives of the research are to provide an overview of biological cell counting methods in microscopic images and to explore deep learning (DL)-based image …
Light microscopy is a cheap and accessible imag-ing technique to visualize and quantitatively cap-ture cellular features at a large scale. The ability to accurately perform image …
CellSegm - a MATLAB toolbox for high-throughput 3D cell segmentation
2013年8月9日 · CellSegm, the software presented in this work, is a Matlab based command line software toolbox providing an automated whole cell segmentation of images showing surface …