Lensless imaging for point-of-care testing

We show a platform that merges a microfluidic chip with lensless imaging for CD4[superscript +] T-lymphocyte counting at resource-limited settings. To capture CD4[superscript +] T lymphocytes, anti-CD4[superscript +] antibody was immobilized on a microfluidic chip. The captured cells were detected...

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Bibliographic Details
Main Authors: Moon, SangJun, Keles, Hasan Onur, Kim, Yun-Gon, Kuritzkes, Daniel R., Demirci, Utkan
Other Authors: Harvard University--MIT Division of Health Sciences and Technology
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2010
Online Access:http://hdl.handle.net/1721.1/58814
Description
Summary:We show a platform that merges a microfluidic chip with lensless imaging for CD4[superscript +] T-lymphocyte counting at resource-limited settings. To capture CD4[superscript +] T lymphocytes, anti-CD4[superscript +] antibody was immobilized on a microfluidic chip. The captured cells were detected by a charge coupled device (CCD) sensor using lensless shadow imaging techniques. Gray scale shadow images of captured cells on the chip (24 mm times 4 mm times 50 mum) were enumerated in three seconds using an automatic cell counting software. The device achieved 70.2 plusmn 6.5% capture efficiency, 88.8 plusmn 5.4% capture specificity for CD4[superscript +] T-lymphocytes, 96 plusmn 1.6% CCD efficiency, and 83.5 plusmn 2.4% overall platform performance (n = 3D 9 devices). This integrated platform has potential for point-of-care testing (POCT) to rapidly capture, image and count specific cell types from unprocessed whole blood.