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AI IN MEDICINE: Datrix participates in SPIE Photonics West with three papers on deep learning and biophotonics

January 27, 2025

The Datrix R&D team is a protagonist at the prestigious SPIE Photonics West event in San Francisco. This event, attended by Matteo Bregonzio, CTO and Head of R&D at Datrix and Aapo Peräkorpi, Data Scientist, includes the BiOS Expo – the world’s largest biomedical optics and biophotonics exhibition and conference – which represents significant recognition of the company’s technological and scientific excellence.

With three selected papers, Datrix demonstrates its central role in the international landscape of biophotonics research and the application of advanced technologies in the medical field.

The first paper, presented in collaboration with Aston University (UK), is titled “Enhancing Retinal Image Clarity: Denoising Fundus and OCT Images Using Advanced U-Net Deep Learning in Biomedical Photonics” and focuses on innovative retinal image denoising techniques, improving diagnostic quality through the use of advanced U-Net networks.

The second work, titled “Direct application of deep learning for diffuse optical tomography”, is presented in collaboration with Politecnico di Milano and CNR and proposes a convolutional network capable of learning complex relationships between light propagation in tissue and tissue properties themselves. Bregonzio, author of the research, explains: “Diffuse Optical Tomography (DOT) is a non-invasive diagnostic technique that, by using infrared light, allows for precision screening on various body tissues. The work presented demonstrates how the use of convolutional neural networks can replace the traditional image reconstruction process, improving accuracy and speed in extracting tissue properties.”

The third paper, “Nonresonant background removal in broadband CARS microspectroscopy using deep learning algorithms”, is presented together with Politecnico di Milano and the Leibniz Institute of Photonic Technology (DE) and illustrates how deep learning algorithms can eliminate non-resonant background signals in CARS spectroscopy, improving the precision of biophotonic analyses.

Matteo Bregonzio commented on the participation in the event: “Taking part in SPIE Photonics West is a unique opportunity to share Datrix’s know-how with the global scientific community, strengthening the link between technological innovation and public health. The presentation of these three papers testifies to our constant commitment to promoting innovative data analysis techniques based on Artificial Intelligence functional for medical diagnostics, making increasingly personalized therapies possible.”

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