Technology
ReScale4D is a systematic approach for determining optimal image resolution in deep learning-based microscopy segmentation, balancing accuracy with acquisition/storage costs. Following this approach, researchers can improve the sustainability and cost-effectiveness of bioimaging studies by reducing data and computing needs while optimising microscopy techniques.
Publications featuring Rescale4DL
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ReScale4DL - Balancing Pixel and Contextual Information for Enhanced Bioimage Segmentation Mariana G. Ferreira, Bruno M. Saraiva, António D. Brito, Mariana G. Pinho, Ricardo Henriques, Estibaliz Gómez-de-Mariscal Preprint published in bioRxiv, April 2025 Technologies: BioImage Model Zoo, DeepBacs, DL4MicEverywhere, NanoPyx, Rescale4DL and ZeroCostDL4Mic Funded by: CZI, EMBO, ERC, H2021 and H2022 DOI: 10.1101/2025.04.09.647871 |
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