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Integration of cell phone imaging with microchip ELISA to detect ovarian cancer HE4 biomarker in urine at the point-of-care

Open access
Wang, ShuQi., Zhao, Xiaohu, Khimji, Imran, Akbas, Ragip, Qiu, Weiliang, Edwards, Dale, Cramer, Daniel W., Ye, Bin, Demirci, Utkan·2011·Lab on a Chip

Abstract

Ovarian cancer is asymptomatic in the early stages and most patients present with advanced levels of disease. The lack of cost-effective methods that can achieve frequent, simple and non-invasive testing hinders early detection and causes high mortality in ovarian cancer patients. Here, we report a simple and inexpensive microchip ELISA-based detection module that employs a portable detection system, i.e., a cell phone/charge-coupled device (CCD) to quantify an ovarian cancer biomarker, HE4, in urine. Integration of a mobile application with a cell phone enabled immediate processing of microchip ELISA results, which eliminated the need for a bulky, expensive spectrophotometer. The HE4 level detected by a cell phone or a lensless CCD system was significantly elevated in urine samples from cancer patients (n = 19) than healthy controls (n = 20) (p < 0.001). Receiver operating characteristic (ROC) analyses showed that the microchip ELISA coupled with a cell phone running an automated analysis mobile application had a sensitivity of 89.5% at a specificity of 90%. Under the same specificity, the microchip ELISA coupled with a CCD had a sensitivity of 84.2%. In conclusion, integration of microchip ELISA with cell phone/CCD-based colorimetric measurement technology can be used to detect HE4 biomarker at the point-of-care (POC), paving the way to create bedside technologies for diagnostics and treatment monitoring.

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Metadata

Authors
Wang, S., Zhao, X., Khimji, I., Akbas, R., Qiu, W., Edwards, D., Cramer, D. W., Ye, B., & Demirci, U.
Venue
Lab on a Chip
Published
2011
Volume
11
Issue
20
Pages
3411
ISSN
  • 1473-0189 (ISSN-L)
  • 1473-0197
OpenAlex
W2115585598
Cited by
254
References
0
FWCI
11.12
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Integration of cell phone imaging with microchip ELISA to detect ovarian cancer HE4 biomarker in urine at the point-of-care. https://app.cochat.ai/papers/10.1039/c1lc20479c
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Wang, S., Zhao, X., Khimji, I., Akbas, R., Qiu, W., Edwards, D., Cramer, D. W., Ye, B., & Demirci, U. (2011). Integration of cell phone imaging with microchip ELISA to detect ovarian cancer HE4 biomarker in urine at the point-of-care. Lab on a Chip. https://doi.org/10.1039/c1lc20479c

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