An open source toolkit for repurposing Illumina sequencing systems as versatile fluidics and imaging platforms.

ABSTRACT: Fluorescence microscopy is a key method in the life sciences. State of the art -omics methods combine fluorescence microscopy with complex protocols to visualize tens to thousands of features in each of millions of pixels across samples. These -omics methods require precise control of temperature, reagent application, and image acquisition parameters during iterative chemistry and imaging cycles conducted over the course of days or weeks. Automated execution of such methods enables robust and reproducible data generation. However, few commercial solutions exist for temperature controlled, fluidics coupled fluorescence imaging, and implementation of bespoke instrumentation requires specialized engineering expertise. Here we present PySeq2500, an open source Python code base and flow cell de

SUBMITTER: Pandit K 

PROVIDER: S-EPMC8948189 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature