BMED4460/BMED6460: Biological Image Analysis

Course Description

Extracting quantitative information from large collections of image data plays an increasingly important role in modern biology. Modern microscopy techniques enable the quantification of a broad range of phenotypical alterations, the precise localization of signaling events, and the ability to correlate such signaling events in the context of the spatial organization of the biological specimen. In addition to the hardware platforms themselves, molecular probes play a critical role. Fluorescent proteins have enabled noninvasive imaging in living cells and organisms for reporter gene expression, protein trafficking, and other biochemical signals. Today, hundreds of small organic dyes are available commercially, and they have undergone industrial optimization of wavelength range, brightness, and photo-stability. By fluorescence multiplexing, we can image multiple structures and functional markers in their native context.

This course provides an introduction to the analysis of cell and tissue images.  In this course, we focus on multi-dimensional images of biological cells, tissues, and organisms captured by modern optical microscopes. Using time-lapse imaging, combined with a set of techniques for live-cell imaging, we can record changes over time. We focus on extracting biologically relevant measurements in a systematic fashion.  We are interested in two kinds of measurements: intrinsic and associative. Intrinsic measurements quantify aspects of objects in each imaging channel. Associative measurements describe the relationships among these objects in space and time. These measurements can be combined with other forms of bio-informatics data to understand cells and tissue.


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Dirk Padfield,
Jan 17, 2014, 11:24 PM
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