| Literature DB >> 28125106 |
Handuo Shi1, Alexandre Colavin2, Timothy K Lee1,3, Kerwyn Casey Huang1,2,4.
Abstract
Single-cell microscopy is a powerful tool for studying gene functions using strain libraries, but it suffers from throughput limitations. Here we describe the Strain Library Imaging Protocol (SLIP), which is a high-throughput, automated microscopy workflow for large strain collections that requires minimal user involvement. SLIP involves transferring arrayed bacterial cultures from multiwell plates onto large agar pads using inexpensive replicator pins and automatically imaging the resulting single cells. The acquired images are subsequently reviewed and analyzed by custom MATLAB scripts that segment single-cell contours and extract quantitative metrics. SLIP yields rich data sets on cell morphology and gene expression that illustrate the function of certain genes and the connections among strains in a library. For a library arrayed on 96-well plates, image acquisition can be completed within 4 min per plate.Entities:
Mesh:
Year: 2017 PMID: 28125106 PMCID: PMC5831406 DOI: 10.1038/nprot.2016.181
Source DB: PubMed Journal: Nat Protoc ISSN: 1750-2799 Impact factor: 13.491