Distributed and networked analysis of volumetric image data for remote collaboration of microscopy image analysis
The DINAVID system, designed and developed using open-source tools, enables biologists to analyze and visualize 3D microscopy volumes remotely without the need to manage computational resources. DINAVID also provides several image analysis tools, including pre-processing and several segmentation models.
Authors
- Alain Chen (ORCID: https://orcid.org/0000-0001-7119-0815)
- Shuo Han (ORCID: https://orcid.org/0000-0003-3992-5003)
- Chichen Fu (ORCID: https://orcid.org/0000-0003-1119-5205)
- Seth Winfree (ORCID: https://orcid.org/0000-0002-2396-5871)
- Paul Salama (ORCID: https://orcid.org/0000-0002-7643-3879)
- Soonam Lee (ORCID: https://orcid.org/0000-0003-1687-1217)
- Kenneth W. Dunn (ORCID: https://orcid.org/0000-0003-4245-496X)
- Liming Wu (ORCID: https://orcid.org/0000-0002-5738-0468)
- Edward J. Delp (ORCID: https://orcid.org/0000-0002-2909-7323)
- Changye Yang
Institutions
- University of Indianapolis (US)
- Purdue University West Lafayette (US)
- National Institute of Allergy and Infectious Diseases (US)
- Indiana University – Purdue University Indianapolis (US)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2025-03-11
- DOI
- https://doi.org/10.1117/1.jmi.12.2.024001
- Citations
- 1
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.63
Funders
- Purdue University
- National Institutes of Health
- National Institute of Diabetes and Digestive and Kidney Diseases