Prabhakar R. Gudla, Ph.D.

Staff Scientist

Team Member of:

Dr. Gudla is a Staff Scientist with the High-Throughout Imaging Facility (HiTIF), which provides CCR investigators with the expertise and the technology needed to set up, optimize and implement high-content imaging (HCI) assays.
HCI assays are used to analyze large numbers of experimental conditions, such as in high-throughput siRNA or chemical compounds screens. His primary role is to develop the required computational infrastructure and the analytics platform for reusable and reproducible research. Dr. Gudla's research interests include bioimage analysis, machine learning and (super-resolution) optical microscopy.

Areas of Expertise
1) bioimage informatics, 2) single molecule and localization microscopy, 3) machine learning, 4) fluorescence fluctuation spectroscopy, 5) high content imaging

Contact Info

Prabhakar R. Gudla, Ph.D.
Center for Cancer Research
National Cancer Institute
Building 41, Room B516
Bethesda, MD 20892
Ph: 240-760-6614
gudlap@mail.nih.gov

Dr. Gudla is a Staff Scientist with the High-Throughout Imaging Facility (HiTIF), which provides CCR investigators with the expertise and the technology needed to set-up, optimize and implement high-content imaging (HCI) assays.
HCI assays are used to analyze large numbers of experimental conditions, such as in high-throughput siRNA or chemical compounds screens. His primary role is to develop the required computational infrastructure and the analytics platform for reusable and reproducible research. Dr. Gudla research interests include bioimage analysis, machine learning and (super-resolution) optical microscopy.

 

Scientific Focus Areas:
Biomedical Engineering and Biophysics, Cancer Biology

Selected Recent Publications

  1. T.J. Crites, K. Padhan, J. Muller, M. Krogsgaard, P.R. Gudla, S.J. Lockett, and R. Varma.
    J Immunol. 93: 56-67, 2014. [ Journal Article ]
  2. R.P. Rao, L. Scheffer, S.M. Srideshikan, V. Parthibane, T. Kosakowska-Cholody, M. Athar, K. Nagashima, P. Gudla, S. Lockett, U. Acharya, and J.K. Acharya.
    PLoS ONE. 9: e92142, 2014. [ Journal Article ]
  3. S. Lockett, Cui C., Gudla P.R., Nandy K., Jaja J., Reilly K., Beutler J., and Turbyville T.
    Cytometry, Part A. 85A(6: 512-521, 2014. [ Journal Article ]
  4. Segmentation and Quantitative Analysis of Individual Cells in Developmental Tissues.
    P.R. Gudla
    In: Mouse Molecular Embryology. New York: Springer US 235-253, 2014. [ Book Chapter ]
  5. K. Nandy, Gudla P. R., Amundsen R., Meaburn K. J., Misteli T. and Lockett S. J.
    Cytometry, Part A. 81A: 743–754, 2012. [ Journal Article ]

Dr. Gudla received his B. Tech degree in Chemical Engineering from the National Institute of Technology, Trichy, India in 1998. He completed his doctoral research at the Bioengineering Department, University of Maryland at College Park in 2005, where he worked on integrating multiscale mathematical models for understanding biological systems. In 2005, Dr. Gudla joined the Optical Imaging and Analysis Laboratory (Leidos Biomedical Research, Inc., NCI-Frederick) as a Research Scientist. Here, under the supervison of Dr. Stephen J. Lockett, he developed quantitative bioimaging tools for understanding tumorigenesis in live cells and tissues. Then in 2013, he worked with the RAS Imaging Group (NCI RAS Initiative) at the Frederick National Laboratory. Here, he used single molecule imaging techniques to understand KRAS4b dynamics at plasma membrane in live cells and also developed custom quantitative imaging workflows RAS Screening Assay. In 2016, Dr.Gudla was appointed as a Staff Scientist in the High-Throughput Imaging Facility (HiTIF), LRBGE, CCR.