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Approach to classify, separate, and enrich objects in groups using ensemble sorting [Chemistry]

The sorting and separation of objects, from single cells, droplets, or macromolecules, to materials, is an important operation central to many scientific investigations. Indeed, it is central to the fabrication of machines and detection technologies; however, most methods focus on separating individual components which can be costly and time-consuming, and it is difficult to achieve high throughput at low error rates. Here, we propose a simple method applicable over a large size and material range to sort objects in groups or ensembles using a set of registers, which are themselves sorted again, and then re-sorted iteratively. The result is a lossless enrichment process that leads to a very high purity and can cope with errors and highly dynamic populations.

Authors:   Rebecca Turk-MacLeod; Alon Henson; Marc Rodriguez-Garcia; Graham M. Gibson; Gerardo Aragon Camarasa; Dario Caramelli; Miles J. Padgett; Leroy Cronin
Journal:   Proceedings of the National Academy of Sciences current issue
Volume:   115
edition:   22
Year:   2018
Pages:   5681
DOI:   10.1073/pnas.1721929115
Publication date:   29-May-2018
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