The Bioinformatics and Computational Biosciences Branch's (BCBB) imaging team aims to understand the structure and distribution of components and processes at the sub-cellular, cellular, or gross anatomical levels. Areas of collaboration include:
- Image classification and segmentation (deep learning)
- Image registration
- Workflow development
Technologies
Publications
Collaborator: Ronald Germain (LISB). IBEX: an iterative immunolabeling and chemical bleaching method for high-content imaging of diverse tissues. Nat Protoc, 2022. 17(2): 378-401.
Collaborator: Ronald Germain (LISB). IBEX: A versatile multiplex optical imaging approach for deep phenotyping and spatial analysis of cells in complex tissues. Proc. Natl. Acad. Sci. USA. 2020.
Collaborator: Stefan Jaeger (NLM). Generalization Challenges in Drug-Resistant Tuberculosis Detection from Chest X-rays. Diagnostics 12(1). 2022.
Collaborator: Stefan Jaeger (NLM). Differentiating between drug-sensitive and drug-resistant tuberculosis with machine learning for clinical and radiological features. Quant Imaging Med Surg. 2022. Surg, 12(1): 675-687.
Research Team
Team Lead
Ziv Yaniv, Ph.D.
(Contractor)
Contact: zivrafael.yaniv@nih.gov
Education:
Ph.D., 2004, The Hebrew University of Jerusalem, Jerusalem, Israel
Languages Spoken: Hebrew
Team Members
David T. Chen, Ph.D.
(Contractor)
Contact: dchen@mail.nih.gov
Education:
B.A., 1988, University of California, Berkeley, Berkeley, CA
M.S., 1991, University of North Carolina at Chapel Hill, Chapel Hill, NC
Ph.D., 1998, University of North Carolina at Chapel Hill, Chapel Hill, NC
Karthik Kantipudi, M.S.
(Contractor)
Contact: karthik.kantipudi@nih.gov
Education:
B.S., Indian Institute of Technology Kharagpur, West Bengal, India
M.S., University of St. Thomas, St Paul, MN
Languages Spoken: Hindi, Telugu
