41 citations · 71 across the 8 of their papers we have counts for
8 papers
Roadmap on Deep Learning for Microscopy
Giovanni Volpe, Carolina Wählby, Lei Tian +72
Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasin…
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…
Optimal-transport-based metric for SMLM
Quentin Denoyelle, Thanh-an Pham, Pol del Aguila Pla +2
We propose the use of Flat Metric to assess the performance of reconstruction methods for single-molecule localization microscopy (SMLM) in scenarios where the ground-truth is avai…
W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM Mapping
Ruofan Zhou, Majed El Helou, Daniel Sage +3
In fluorescence microscopy live-cell imaging, there is a critical trade-off between the signal-to-noise ratio and spatial resolution on one side, and the integrity of the biologica…
Pocket Guide to Solve Inverse Problems with GlobalBioIm
Emmanuel Soubies, Ferréol Soulez, Michael T. McCann +5
GlobalBioIm is an open-source MATLAB library for solving inverse problems. The library capitalizes on the strong commonalities between forward models to standardize the resolution…
Investigating the inner structure of focal adhesions with single-molecule localization microscopy
Hendrik Deschout, Ilia Platzman, Daniel Sage +3
Cells rely on focal adhesions (FAs) to carry out a variety of important tasks, including motion, environmental sensing, and adhesion to the extracellular matrix. Although attaining…