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Cited by 274

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Cost-effective and rapid blood analysis on a cell-phone

Open access
Zhu, Hongying, Sencan, Ikbal, Wong, Justin, Dimitrov, Stoyan, Tseng, Derek, Nagashima, Keita, Ozcan, Aydogan·2013·Lab on a Chip

Abstract

We demonstrate a compact and cost-effective imaging cytometry platform installed on a cell-phone for the measurement of the density of red and white blood cells as well as hemoglobin concentration in human blood samples. Fluorescent and bright-field images of blood samples are captured using separate optical attachments to the cell-phone and are rapidly processed through a custom-developed smart application running on the phone for counting of blood cells and determining hemoglobin density. We evaluated the performance of this cell-phone based blood analysis platform using anonymous human blood samples and achieved comparable results to a standard bench-top hematology analyser. Test results can either be stored on the cell-phone memory or be transmitted to a central server, providing remote diagnosis opportunities even in field settings.

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Registry

Crossref · 10.1039/c3lc41408f

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Metadata

Authors
Zhu, H., Sencan, I., Wong, J., Dimitrov, S., Tseng, D., Nagashima, K., & Ozcan, A.
Venue
Lab on a Chip
Published
2013
Volume
13
Issue
7
Pages
1282
ISSN
  • 1473-0189 (ISSN-L)
  • 1473-0197
OpenAlex
W1992550416
Cited by
274
References
11
FWCI
41.63
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Cost-effective and rapid blood analysis on a cell-phone. https://app.cochat.ai/papers/10.1039/c3lc41408f
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Zhu, H., Sencan, I., Wong, J., Dimitrov, S., Tseng, D., Nagashima, K., & Ozcan, A. (2013). Cost-effective and rapid blood analysis on a cell-phone. Lab on a Chip. https://doi.org/10.1039/c3lc41408f

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.