2024
DOI: 10.1101/2024.03.11.584308
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Insights into Cellular Evolution: Temporal Deep Learning Models and Analysis for Cell Image Classification

Xinran Zhao,
Alexander Ruys de Perez,
Elena S. Dimitrova
et al.

Abstract: Understanding the temporal evolution of cells poses a significant challenge in developmental biology. This study embarks on a comparative analysis of various machine–learning techniques to classify sequences of cell colony images, thereby aiming to capture dynamic transitions of cellular states. Utilizing transfer learning with advanced classification networks, we achieved high accuracy in single–timestamp image categorization. We introduce temporal models—LSTM, R–Transformer, and ViViT—to explore the effectiv… Show more

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