OMERO and Bio-Formats 5: flexible access to large bioimaging datasets at scale-Reference-Cited by-同舟云学术

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OMERO and Bio-Formats 5: flexible access to large bioimaging datasets at scale

Published:2015-03-20 Issue: Volume: Page:
ISSN:0277-786X
Container-title:SPIE Proceedings
language:
Short-container-title:

Author:

Moore Josh,Linkert Melissa,Blackburn Colin,Carroll Mark,Ferguson Richard K.,Flynn Helen,Gillen Kenneth,Leigh Roger,Li Simon,Lindner Dominik,Moore William J.,Patterson Andrew J.,Pindelski Blazej,Ramalingam Balaji,Rozbicki Emil,Tarkowska Aleksandra,Walczysko Petr,Allan Chris,Burel Jean-Marie,Swedlow Jason

Publisher

SPIE

Reference10 articles.

1. Introduction

2. Reconstruction of Zebrafish Early Embryonic Development by Scanned Light Sheet Microscopy

3. Digital images and the future of digital pathology

4. Open source bioimage informatics for cell biology

5. Metadata matters: access to image data in the real world

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1. National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence;RadioGraphics;2023-12-01

2. HistoMIL: A Python package for training multiple instance learning models on histopathology slides;iScience;2023-10

3. Online citizen science with the Zooniverse for analysis of biological volumetric data;Histochemistry and Cell Biology;2023-06-07

4. Challenges and opportunities for bioimage analysis core‐facilities;Journal of Microscopy;2023-06-07

5. HistoMIL: a Python package for training Multiple Instance Learning models on histopathology slides;2023-06-06

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