Electrical Engineering and Computer Science

Research in Flow Cytometry Receives Award for Best Original Paper   Bookmark and Share

Prof. Al Hero, R. Jamison and Betty Williams Professor of Engineering and colleagues co-authored on the article, "Analysis of clinical flow cytometric immunophenotyping data by clustering on statistical manifolds: Treating flow cytometry data as high-dimensional objects" which has been selected as the Best Original Paper published in Clinical Cytometry for 2008-2009 (originally published in Vol. 76B 1, 107, 2009). This annual award is given for the manuscript published under the Original Article category that is judged of the highest scientific quality and impact by the Editors and Associate Editors of Clinical Cytometry.

The paper (featured on the cover, right) introduces a new method, called Fisher Information Non-parametric Embedding (FINE), for clinical flow cytometry that uses principles of manifold learning and information geometry to visualize and cluster high dimensional cytometric data. The paper, co-authored with Prof Hero's former student Kevin Carter, former post-doc Raviv Raich, and U-M pathologists Will Finn and Lloyd Stoolman, concluded that FINE has potential utility as a decision-support tool in clinical practice or as a means for context-based archiving and searching of clinical flow cytometry data based on high-dimensional distribution patterns contained within stored list mode data. To support this conclusion, the paper described an experimental study in which FINE led to clustering of cases of acute lymphoblastic leukemia from cases of expansion of physiologic B-cell precursors (hematogones) within a set of 54 patient samples.

Prof. Hero's research interests include inference in sensor networks, adaptive sensing, bioinformatics, inverse problems, and statistical signal and image processing. He holds joint appointments in the Department of Biomedical Engineering and the Department of Statistics, and during the summer holds an appointment as Digiteo Chaire d'Excellence at the Digiteo Research Park in Information Science and Technology, Paris, France. He is also affiliated with the U-M Program in Biomedical Science (PIBS) and the U-M Graduate Program in Applied and Interdisciplinary Mathematics (AIM).

Posted: August 5, 2009 by
Catharine June
EECS/ECE Communications Coordinator
cmsj@umich.edu or 734-936-2965

Related Topics:   Big Data   Health   Hero, Alfred   Signal and Image Processing