Integrating microfluidics and lensless imaging for point-of-care testing


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Moon S., Keles H. O., Ozcan A., Khademhosseini A., Haeggstrom E., Kuritzkes D., ...Daha Fazla

BIOSENSORS & BIOELECTRONICS, cilt.24, sa.11, ss.3208-3214, 2009 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 24 Sayı: 11
  • Basım Tarihi: 2009
  • Doi Numarası: 10.1016/j.bios.2009.03.037
  • Dergi Adı: BIOSENSORS & BIOELECTRONICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.3208-3214
  • Anahtar Kelimeler: POCT CD4(+) monitoring, CCD-based cell counter, HIV monitoring, HIV-INFECTED SUBJECTS, LABEL-FREE, ON-CHIP, GLOBAL HEALTH, UNITED-STATES, DEVICES
  • Ankara Üniversitesi Adresli: Hayır

Özet

We demonstrate an integrated platform that merges a microfluidic chip with lensless imaging to target CD4(+) T-lymphocyte counts for HIV point-of-care testing at resource-limited settings. The chips were designed and fabricated simply with a laser cutter without using expensive cleanroom equipment. To capture CD4(+) T-lymphocytes from blood, anti-CD4 antibody was immobilized on only one side of the microfluidic chip. These captured cells were detected through an optically clear chip using a charge coupled device (CCD) sensor by lensless shadow imaging techniques. Gray scale image of the captured cells in a 24 mm x 4 mm x 50 mu m microfluidic chip was obtained by the lensless imaging platform. The automatic cell counting software enumerated the captured cells in 3 s. Captured cells were also imaged with a fluorescence microscope and manually counted to characterize functionality of the integrated platform. The integrated platform achieved 70.2 +/- 6.5% capture efficiency, 88.8 +/- 5.4% capture specificity for CD4(+) T-lymphocytes, 96 +/- 1.6% CCD efficiency, and 83.5 +/- 2.4% overall platform performance (n = 9 devices) compared to the gold standard, i.e. flow cytometry count. The integrated system gives a CD4 count from blood within 10 min. The integrated platform points a promising direction for point-of-care testing (POCT) to rapidly capture, image and count subpopulations of cells from blood samples in an automated matter. (C) 2009 Elsevier B.V. All rights reserved.