qlty: Handling large tensors in scientific imaging deep-learning workflows-Reference-Cited by-同舟云学术

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qlty: Handling large tensors in scientific imaging deep-learning workflows

Published:2024-09 Issue: Volume:21 Page:100696
ISSN:2665-9638
Container-title:Software Impacts
language:en
Short-container-title:Software Impacts

Author:

Zwart Petrus H.^ORCID

Funder

US Department of Energy

NIH

Publisher

Elsevier BV

Reference21 articles.

1. X-ray tomography of whole cells;Le Gros;Curr. Opin. Struct. Biol.,2005

2. Structural studies by electron tomography: from cells to molecules;Lucić;Annu. Rev. Biochem.,2005

3. Enhanced FIB-SEM systems for large-volume 3D imaging;Xu;Elife,2017

4. Regulation of liver subcellular architecture controls metabolic homeostasis;Parlakgül;Nature,2022

5. Observing the cell in its native state: Imaging subcellular dynamics in multicellular organisms;Liu;Science,2018

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