High-throughput single-microparticle imaging flow analyzer

作者:Goda, Keisuke*; Ayazi, Ali; Gossett, Daniel R.; Sadasivam, Jagannath; Lonappan, Cejo K.; Sollier, Elodie; Fard, Ali M.; Hur, Soojung Claire; Adam, Jost; Murray, Coleman; Wang, Chao; Brackbill, Nora; Di Carlo, Dino; Jalali, Bahram
来源:Proceedings of the National Academy of Sciences, 2012, 109(29): 11630-11635.
DOI:10.1073/pnas.1204718109

摘要

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.

  • 出版日期2012-7-17