Abstract
Optical microscopy is one of the most widely used diagnostic methods in scientific, industrial, and biomedical applications. However, while useful for detailed examination of a small number (<10,000) of microscopic entities, conventional optical microscopy is incapable of statistically relevant screening of large populations (>100,000,000) with high precision due to its low throughput and limited digital memory size. We present an automated flow-through single-particle optical microscope that overcomes this limitation by performing sensitive blur-free image acquisition and nonstop real-time image-recording and classification of microparticles during high-speed flow. This is made possible by integrating ultrafast optical imaging technology, self-focusing microfluidic technology, optoelectronic communication technology, and information technology. To show the system's utility, we demonstrate high-throughput image-based screening of budding yeast and rare breast cancer cells in blood with an unprecedented throughput of 100,000 particles's and a record false positive rate of one in a million.
| Originalsprog | Engelsk |
|---|---|
| Tidsskrift | PNAS |
| Vol/bind | 109 |
| Udgave nummer | 29 |
| Sider (fra-til) | 11630-11635 |
| ISSN | 0027-8424 |
| DOI | |
| Status | Udgivet - 17. jul. 2012 |
| Udgivet eksternt | Ja |
Fingeraftryk
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