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...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers
2010
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| Online Access: | http://hdl.handle.net/1721.1/58814 |
| _version_ | 1811074126968782848 |
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| author | Moon, SangJun Keles, Hasan Onur Kim, Yun-Gon Kuritzkes, Daniel R. Demirci, Utkan |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology Moon, SangJun Keles, Hasan Onur Kim, Yun-Gon Kuritzkes, Daniel R. Demirci, Utkan |
| author_sort | Moon, SangJun |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T09:43:51Z |
| format | Article |
| id | mit-1721.1/58814 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T09:43:51Z |
| publishDate | 2010 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/588142022-09-30T16:29:38Z Lensless imaging for point-of-care testing Moon, SangJun Keles, Hasan Onur Kim, Yun-Gon Kuritzkes, Daniel R. Demirci, Utkan Harvard University--MIT Division of Health Sciences and Technology Demirci, Utkan Demirci, Utkan 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. National Institute of General Medical Sciences (U.S.) (grants RO1 AI081534, RR016482, and AI060354) 2010-10-01T14:46:43Z 2010-10-01T14:46:43Z 2009-11 Article http://purl.org/eprint/type/JournalArticle 978-1-4244-3296-7 1557-170X http://hdl.handle.net/1721.1/58814 SangJun Moon et al. “Lensless imaging for point-of-care testing.” Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE. 2009. 6376-6379. © 2009 IEEE en_US http://dx.doi.org/10.1109/IEMBS.2009.5333765 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009. EMBC 2009 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers IEEE |
| spellingShingle | Moon, SangJun Keles, Hasan Onur Kim, Yun-Gon Kuritzkes, Daniel R. Demirci, Utkan Lensless imaging for point-of-care testing |
| title | Lensless imaging for point-of-care testing |
| title_full | Lensless imaging for point-of-care testing |
| title_fullStr | Lensless imaging for point-of-care testing |
| title_full_unstemmed | Lensless imaging for point-of-care testing |
| title_short | Lensless imaging for point-of-care testing |
| title_sort | lensless imaging for point of care testing |
| url | http://hdl.handle.net/1721.1/58814 |
| work_keys_str_mv | AT moonsangjun lenslessimagingforpointofcaretesting AT keleshasanonur lenslessimagingforpointofcaretesting AT kimyungon lenslessimagingforpointofcaretesting AT kuritzkesdanielr lenslessimagingforpointofcaretesting AT demirciutkan lenslessimagingforpointofcaretesting |