Swin Transformer U-Net for live cell analysis with a lens-free on-chip digital holographic microscope

Wenhui Lin; Yang Chen; Xuejuan Wu; Yufan Chen

doi:10.1117/12.3038190

22 November 2024 Swin Transformer U-Net for live cell analysis with a lens-free on-chip digital holographic microscope

Wenhui Lin, Yang Chen, Xuejuan Wu, Yufan Chen

Author Affiliations +

Proceedings Volume 13240, Holography, Diffractive Optics, and Applications XIV; 132402G (2024) https://doi.org/10.1117/12.3038190
Event: SPIE/COS Photonics Asia, 2024, Nantong, Jiangsu, China

Conference Poster

Abstract

Lens-free on-chip digital holographic microscope (LFOCDHM) is crucial for biomedical applications like cell cycle assays, drug development, digital pathology, and high-throughput biological screening. The unit magnification configuration results in a field-of-view (FOV) containing over a hundred times more cells than a conventional 10× microscope objective, making segmentation labor-intensive and time-consuming due to complex and variable cell morphology. Although many deep learning-based cell segmentation methods exist, convolutional neural networks (CNNs) have a limited localized receptive field and are unsuitable for large FOV imaging from LFOCDHM. We propose Swin Transformer U-Net (STU-Net), a high-throughput live cell analysis method. It uses a shift window to compute self-attention and extract features at five scales, achieving accurate cell segmentation (accuracy > 0.9743). We validated STU-Net’s robustness and generalizability with HeLa cell slides across the full FOV in vitro. This approach, capable of quantifying cell growth and proliferation from segmentation results, offers a strong foundation for drug development and biological screening.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wenhui Lin, Yang Chen, Xuejuan Wu, and Yufan Chen "Swin Transformer U-Net for live cell analysis with a lens-free on-chip digital holographic microscope", Proc. SPIE 13240, Holography, Diffractive Optics, and Applications XIV, 132402G (22 November 2024); https://doi.org/10.1117/12.3038190

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