Versatile Image-Assisted Cell Sorting by Selective Trapping with Spatiotemporal Multiparameter Targeting.

ABSTRACT: Current cell sorting methods often lack versatility, require complex setups, demand large initial cell numbers for reliable sorting, and impose size limitations on target objects. To address these challenges, we introduce two-dimensional sorting with image-guided multiparameter adjustable targeting (2D-SIGMAT), which utilizes dynamic in situ light-activated cell trapping for precise and efficient cell isolation. A key advantage of 2D-SIGMAT is its capability to record and analyze high-resolution images with over ten times more pixels per image without motion blur compared to the other image-assisted sorters, significantly enhancing sorting. We have demonstrated the sorting of objects with a wide range of sizes, from single cells to organoids. Furthermore, we have shown that it is compatibl

SUBMITTER: Paul R 

PROVIDER: S-EPMC12481549 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature