Learning-based lensless fiber bundle imaging with real-time resolution enhancement for biomedicine

Tijue Wang; Jakob Dremel; Jiachen Wu; Ortrud Uckermann; Roberta Galli; Ilker Eyüpoglu; Jürgen Czarske; Robert Kuschmierz

doi:10.1117/12.2675989

28 September 2023 Learning-based lensless fiber bundle imaging with real-time resolution enhancement for biomedicine

Tijue Wang, Jakob Dremel, Jiachen Wu, Ortrud Uckermann, Roberta Galli, Ilker Eyüpoglu, Jürgen Czarske, Robert Kuschmierz

Author Affiliations +

Proceedings Volume PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023; PC1265501 (2023) https://doi.org/10.1117/12.2675989
Event: SPIE Nanoscience + Engineering, 2023, San Diego, California, United States

Abstract

An end-to-end tumor diagnosis framework including resolution enhancement and tumor classification is proposed. The U-Net + EDSR network enables a significant improvement of PSNR and enhances the resolution beyond physical limitations. Moreover, the subsequent tumor discrimination can benefit from the enhancement. Multi-image as network input and advanced models like generative adversarial networks are expected to bring a further improvement for the imaging. Our proposed novel method first time realizes intraoperative lensless CFB imaging with high resolution in the near-field. The technique builds a bridge to many techniques like optical biopsies, multi-modal imaging, virtual staining, and computer-assisted disease diagnostics for neuron signal monitoring as well as neurosurgery.

Conference Presentation

Citation Download Citation

Tijue Wang, Jakob Dremel, Jiachen Wu, Ortrud Uckermann, Roberta Galli, Ilker Eyüpoglu, Jürgen Czarske, and Robert Kuschmierz "Learning-based lensless fiber bundle imaging with real-time resolution enhancement for biomedicine", Proc. SPIE PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023, PC1265501 (28 September 2023); https://doi.org/10.1117/12.2675989

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