The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Mobile platform for rapid sub–picogram-per-milliliter, multiplexed, digital droplet detection of proteins
Open accessAbstract
Significance: Digital assays have enormous untapped potential for diagnostics, environmental surveillance, and biosafety monitoring, but are currently confined to laboratory settings due to the instrumentation necessary to generate, control, and measure millions of droplets. We instead use a mobile phone-based imaging technique that is > 100× faster than conventional microfluidic droplet detection, does not require expensive optics, is invariant to flow rate, and can simultaneously measure multiple fluorescent dyes in droplets. By using this time domain modulation with cloud computing, we overcome the low frame rate of digital imaging, and achieve throughputs as high as 1 million droplets per second. We integrate on-chip delay lines and a microbead processing unit, resulting in a robust device, suitable for low-cost implementation, with ultrasensitive measurement capabilities.
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Cites
Chaotic Mixer for Microchannels
Stroock, A. D., Dertinger, S. K. W., Ajdari, A., Mezić, I., Stone, H. A., & Whitesides, G. M. (2002) · Science · doi:10.1126/science.1066238 · Cited by 3,435 · cited 1×
“A channel length of 14 mm with a staggered herringbone design is used to ensure proper mixing of the beads and the substrate, while minimizing background signal that comes from enzymes generating fluorescence signal before they are encapsulated into droplets (45, 46) (SI Appendix, Fig.”
MethodHigh-throughput droplet digital PCR system for absolute quantitation of DNA copy number
Hindson, B. J., Ness, K. D., Masquelier, D. A., Belgrader, P., Heredia, N. J., Makarewicz, A. J., Bright, I. J., Lucero, M. Y., Hiddessen, A. L., Legler, T. C., et al. (2011) · Analytical Chemistry · doi:10.1021/ac202028g · Cited by 2,792
Du, W., Li, L., Nichols, K. P., & Ismagilov, R. F. (2009) · Lab on a Chip · doi:10.1039/b908978k · Cited by 351
Shen, F., Du, W., Kreutz, J. E., Fok, A., & Ismagilov, R. F. (2010) · Lab on a Chip · doi:10.1039/c004521g · Cited by 295
Combining Machine Learning and Nanofluidic Technology To Diagnose Pancreatic Cancer Using Exosomes
Ko, J., Bhagwat, N., Yee, S. S., Ortiz, N., Sahmoud, A., Black, T., Aiello, N. M., McKenzie, L., O’Hara, M., Redlinger, C., et al. (2017) · ACS Nano · doi:10.1021/acsnano.7b05503 · Cited by 249
Self-citationDigital Quantification of Proteins and mRNA in Single Mammalian Cells
Albayrak, C., Jordi, C. A., Zechner, C., Lin, J., Bichsel, C. A., Khammash, M., & Tay, S. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.02.030 · Cited by 176
Cited by
Ultrasensitive and Highly Specific Lateral Flow Assays for Point-of-Care Diagnosis
Liu, Y., Zhan, L., Qin, Z., Sackrison, J., & Bischof, J. C. (2021) · ACS Nano · doi:10.1021/acsnano.0c10035 · Cited by 626
Tian, T., Shu, B., Jiang, Y., Ye, M., Liu, L., Guo, Z., Han, Z., Wang, Z., & Zhou, X. (2021) · ACS Nano · doi:10.1021/acsnano.0c08165 · Cited by 328
Development and future of droplet microfluidics
Nan, L., Zhang, H., Weitz, D. A., & Shum, H. C. (2024) · Lab on a Chip · doi:10.1039/d3lc00729d · Cited by 253
Yan, S., Zhang, W., Li, X., Dutta, S., Castle, A. R., Liu, Y., Sahoo, A., Lam, C. L., Gatford, N. J. F., Hu, M. T., et al. (2025) · Cell Reports Medicine · doi:10.1016/j.xcrm.2025.101999 · Cited by 33
Metadata
- Authors
- Yelleswarapu, V., Buser, J. R., Haber, M., Baron, J., Inapuri, E., & Issadore, D.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2019-02-14
- Volume
- 116
- Issue
- 10
- Pages
- 4489-4495
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2912387720
- Cited by
- 185
- References
- 6
- FWCI
- 8.38
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Yelleswarapu, V., Buser, J. R., Haber, M., Baron, J., Inapuri, E., & Issadore, D. (2019). Mobile platform for rapid sub–picogram-per-milliliter, multiplexed, digital droplet detection of proteins. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1814110116
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