Juan Manuel Battagliotti

ORCID: 0009-0004-5380-080X
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About
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Research Areas
  • Cell Image Analysis Techniques
  • Data Visualization and Analytics
  • Image Processing Techniques and Applications

Human Technopole
2024

Fluorescence microscopy, a key driver for progress in the life sciences, faces limitations due to microscope's optics, fluorophore chemistry, and photon exposure limits, necessitating trade-offs imaging speed, resolution, depth. Here, we introduce MicroSplit, computational multiplexing technique based on deep learning that allows multiple cellular structures be imaged single fluorescent channel then unmix them by means, allowing faster reduced exposure. We show MicroSplit efficiently...

10.1101/2025.02.10.637323 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2025-02-11

ABSTRACT Once the work at microscope is done, biological discoveries rely heavily on proper downstream analysis. This often amounts to first segmenting objects of interest in image before performing a quantitative Deep-learning (DL) nowadays ubiquitous such segmentation tasks. However, DL can be cumbersome apply, as it requires large amount manual labeling produce ground-truth data, and expert knowledge train models from scratch. Nonetheless, performance foundation models, although trained...

10.1101/2024.12.12.628025 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2024-12-16
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