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Boris Ferdman
Researcher at Technion – Israel Institute of Technology
Publications - 29
Citations - 418
Boris Ferdman is an academic researcher from Technion – Israel Institute of Technology. The author has contributed to research in topics: Microscopy & Point spread function. The author has an hindex of 7, co-authored 23 publications receiving 226 citations. Previous affiliations of Boris Ferdman include Centre for Life.
Papers
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Journal ArticleDOI
DeepSTORM3D: dense 3D localization microscopy and PSF design by deep learning
Elias Nehme,Daniel Freedman,Racheli Gordon,Boris Ferdman,Lucien E. Weiss,Onit Alalouf,Tal Naor,Reut Orange,Tomer Michaeli,Yoav Shechtman +9 more
TL;DR: DeepSTORM3D uses deep learning for accurate localization of point emitters in densely labeled samples in three dimensions for volumetric localization microscopy with high temporal resolution, as well as for optimal point-spread function design.
Journal ArticleDOI
DeepSTORM3D: dense three dimensional localization microscopy and point spread function design by deep learning
Elias Nehme,Daniel Freedman,Racheli Gordon,Boris Ferdman,Lucien E. Weiss,Onit Alalouf,Reut Orange,Tomer Michaeli,Yoav Shechtman +8 more
TL;DR: This work trains a neural network to receive an image containing densely overlapping PSFs of multiple emitters over a large axial range and output a list of their 3D positions, then uses the network to design the optimal PSF for the multi-emitter case.
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Three-dimensional localization microscopy in live flowing cells
Lucien E. Weiss,Yael Shalev Ezra,Sarah Goldberg,Boris Ferdman,Boris Ferdman,Omer Adir,Avi Schroeder,Onit Alalouf,Yoav Shechtman +8 more
TL;DR: This work shows that imaging flow cytometry is compatible with 3D localization microscopy through point-spread-function engineering, which encodes the depth of the emitter into the emission pattern captured by the camera.
Journal ArticleDOI
VIPR: vectorial implementation of phase retrieval for fast and accurate microscopic pixel-wise pupil estimation.
TL;DR: This work presents a phase retrieval approach based on an analytical derivation of the vectorial diffraction model that produces an accurate estimate of the system's phase information, without any prior knowledge about the aberrations, in under a minute.
Journal ArticleDOI
Learning Optimal Wavefront Shaping for Multi-Channel Imaging
Elias Nehme,Boris Ferdman,Lucien E. Weiss,Tal Naor,Daniel Freedman,Tomer Michaeli,Yoav Shechtman +6 more
TL;DR: In this article, a multi-channel optimization scheme was proposed for 3D localization microscopy in densely labelled live cells where detectability is limited by overlap of modulated PSFs at extreme densities.