Tracking flow of leukocytes in blood for drug analysis

Arslan Basharat; Wesley Turner; Gillian Stephens; Benjamin Badillo; Rick Lumpkin; Patrick Andre; Amitha Perera

doi:10.1117/12.872509

2 February 2011 Tracking flow of leukocytes in blood for drug analysis

Arslan Basharat, Wesley Turner, Gillian Stephens, Benjamin Badillo, Rick Lumpkin, Patrick Andre, Amitha Perera

Proceedings Volume 7871, Real-Time Image and Video Processing 2011; 78710N (2011) https://doi.org/10.1117/12.872509
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

Modern microscopy techniques allow imaging of circulating blood components under vascular flow conditions. The resulting video sequences provide unique insights into the behavior of blood cells within the vasculature and can be used as a method to monitor and quantitate the recruitment of inflammatory cells at sites of vascular injury/ inflammation and potentially serve as a pharmacodynamic biomarker, helping screen new therapies and individualize dose and combinations of drugs. However, manual analysis of these video sequences is intractable, requiring hours per 400 second video clip. In this paper, we present an automated technique to analyze the behavior and recruitment of human leukocytes in whole blood under physiological conditions of shear through a simple multi-channel fluorescence microscope in real-time. This technique detects and tracks the recruitment of leukocytes to a bioactive surface coated on a flow chamber. Rolling cells (cells which partially bind to the bioactive matrix) are detected counted, and have their velocity measured and graphed. The challenges here include: high cell density, appearance similarity, and low (1Hz) frame rate. Our approach performs frame differencing based motion segmentation, track initialization and online tracking of individual leukocytes.

Citation Download Citation

Arslan Basharat, Wesley Turner, Gillian Stephens, Benjamin Badillo, Rick Lumpkin, Patrick Andre, and Amitha Perera "Tracking flow of leukocytes in blood for drug analysis", Proc. SPIE 7871, Real-Time Image and Video Processing 2011, 78710N (2 February 2011); https://doi.org/10.1117/12.872509

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