Escherichia coli counting using lens-free imaging for sepsis diagnosis

SangJun Moon; Fahim Manzur; Tariq Manzur; Catherine Klapperich; Utkan Demirci

doi:10.1117/12.840367

24 September 2009 Escherichia coli counting using lens-free imaging for sepsis diagnosis

SangJun Moon, Fahim Manzur, Tariq Manzur, Catherine Klapperich, Utkan Demirci

Proceedings Volume 7480, Unmanned/Unattended Sensors and Sensor Networks VI; 748011 (2009) https://doi.org/10.1117/12.840367
Event: SPIE Security + Defence, 2009, Berlin, Germany

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.

Citation Download Citation

SangJun Moon, Fahim Manzur, Tariq Manzur, Catherine Klapperich, and Utkan Demirci "Escherichia coli counting using lens-free imaging for sepsis diagnosis", Proc. SPIE 7480, Unmanned/Unattended Sensors and Sensor Networks VI, 748011 (24 September 2009); https://doi.org/10.1117/12.840367

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available