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Proceedings Paper

Escherichia coli counting using lens-free imaging for sepsis diagnosis
Author(s): SangJun Moon; Fahim Manzur; Tariq Manzur; Catherine Klapperich; Utkan Demirci
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Paper Abstract

Sepsis causes 9.3% of overall deaths in United States. To diagnose sepsis, cell/bacteria capture and culturing methods have been widely investigated in the medical field. Escherichia Coli (E. Coli) is used as a model organism for sepsis in blood stream since wide variety of antibodies are established and the genetic modification process is well documented for fluorescent tagging. In point-of-care testing applications, the sepsis diagnostics require fast monitoring, inexpensive testing, and reliable results at resource limited settings, i.e. battle field, home care for dialysis. However, the cell/E.coli are hard to directly capture and see at the POCT because of the small size, 2 μm long and 0.5 μm in diameter, and the bacteria are rare in the blood stream in sepsis. Here, we propose a novel POCT platform to image and enumerate cell/E.coli on a microfluidic surface to diagnose sepsis at resource limited conditions. We demonstrate that target cells are captured from 5 μl of whole blood using specific antibodies and E.coli are imaged using a lens-free imaging platform, 2.2 μm pixel CMOS based imaging sensor. This POCT cell/bacteria capture and enumeration approach can further be used for medical diagnostics of sepsis. We also show approaches to rapidly quantify white blood cell counts from blood which can be used to monitor immune response.

Paper Details

Date Published: 24 September 2009
PDF: 8 pages
Proc. SPIE 7480, Unmanned/Unattended Sensors and Sensor Networks VI, 748011 (24 September 2009); doi: 10.1117/12.840367
Show Author Affiliations
SangJun Moon, Brigham and Women's Hospital, Harvard Medical School (United States)
Fahim Manzur, Brigham and Women's Hospital, Harvard Medical School (United States)
Tariq Manzur, Naval Undersea Warfare Ctr. (United States)
Catherine Klapperich, Boston Univ. (United States)
Utkan Demirci, Brigham and Women's Hospital, Harvard Medical School (United States)
Harvard-Massachusetts Institutes of Technology Health Sciences and Technology (United States)

Published in SPIE Proceedings Vol. 7480:
Unmanned/Unattended Sensors and Sensor Networks VI
Edward M. Carapezza, Editor(s)

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