Article

A Deep Learning Pipeline for Morphological and Viability Assessment of 3D Cancer Cell Spheroids

2025-01-24

Abstract excerpt

Three-dimensional (3D) spheroid models have advanced cancer research by better mimicking the tumour microenvironment compared to traditional 2D dimensional (2D) cell cultures. However, challenges persist in high-throughput analysis of morphological characteristics and cell viability, as traditional methods like manual fluorescence analysis are labour-intensive and inconsistent. Existing AI-based approaches often a...

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Literature Corpus work: aab794cb-71c8-591d-84d9-26758bf43e67
DOI: 10.1101/2025.01.20.633939

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