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A Self-Supervised Learning Approach for High Throughput and High Content Cell Segmentation

2024-06-02

Abstract excerpt

In principle, AI-based algorithms should enable rapid and accurate cell segmentation in high-throughput settings. However, reliance on large datasets, human input, and computational expertise, along with issues of limited generalizability and the necessity for specialized training are notable drawbacks of nominally “automated” segmentation tools. To overcome this roadblock, we introduce an innovative, user-friendl...

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Literature Corpus work
f82eada5-634a-51ff-a588-fe1347320581
DOI
10.1101/2024.05.29.596446
Open publication

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A Self-Supervised Learning Approach for High Throughput and High Content Cell SegmentationDOI 10.1101/2024.05.29.596446
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