GRASP Special Seminar - Hanchuan Peng, Howard Hughes Medical Institute, "High-throughput 3D BioImage Informatics & Its Applications"

Presenter: Hanchuan Peng (Homepage)

Event Dates:
  Friday October 14, 2011 from 3:30pm to 4:30pm

* Alternate Location: Levine 307 (3330 Walnut Street)*

Bioinformatics is a powerful way to use computational techniques to gain better understanding of biological processes. In many cases it is desirable to analyze genotypes and phenotypes jointly. There have been a huge amount of existing work on genotype data analysis; in recent years, high-throughput phenotype screening that involves systematic analysis of microscopic images (thus called "Bioimage Informatics") and other types of data has become more and more promising. Here I will discuss several examples on how to (1) build a single cell resolution gene expression map for C. elegans and detect new cell types, and (2) develop a pipeline of tools to understand the structures of a complicated fruit fly's brain. I will also discuss our high-performance image computing platform, V3D (, that has been used in several challenging high-throughput bioimage informatics applications.

Presenter's Biography:

Dr. Hanchuan Peng ( Email: ) is currently a senior computer scientist and the head of a computational bioimage analysis lab at Janelia Farm Research Campus, Howard Hughes Medical Institute. He was previously with Lawrence Berkeley National Laboratory, UC Berkeley, on computational biology, bioinformatics, and high-performance data mining, and Johns Hopkins University Medical School on human brain imaging and analysis. Dr. Peng is interested in bioimage analysis and large-scale informatics, as well as computational biology. His recent work has been focusing on developing novel algorithms for 3D+ image analysis and data mining, building single-neuron whole-brain level 3D digital atlases for animals including fruit fly and C. elegans, and V3D, which is a high-performance visualization-assisted analysis system for large 3D+ biological and biomedical- image data sets. He is also the inventor of the minimum-redundant maximum-relevance (mRMR) feature selection algorithm. Dr. Peng is an organizer of some recent international meetings on microscopic image analysis and informatics, e.g. 2005 (Stanford), 2006 (Santa Barbara) and 2009 and 2011 (Janelia Farm) Bioimage Informatics Conferences, 2010 Turning-Images-to-Knowledge Conference (Janelia Farm), 2008 and 2010 Computer Vision for Neurosciences meetings, 2010 Hackathon on 3D Image Visualization and Analysis, etc.