Coherent Raman imaging of live, unfixed Schizosaccharomyces pombe and mutants dea2 and pdf1

We’ve been using Raman spectroscopy and microscopy as label-free techniques to explore biological phenotypes. We’ve previously shared our work with spontaneous (incoherent) Raman systems on algae, bacteria, archaea, and reagents. Here, we sought to use coherent Raman microscopy to acquire biochemical data on living cells at subcellular resolution as part of an effort to discover measurable phenotypes in genetically defined conditions. The two techniques differ in that spontaneous (incoherent) Raman typically has high spectral throughput, whereas coherent Raman has high imaging throughput. We focused on Schizosaccharomyces pombe and mutants dea2 and pdf1 for this dataset, which is part of a larger project using yeast as models for human disease. We're sharing the raw data, key methods, and code for image visualization and export, along with metadata. We hope this will be useful to other researchers phenotyping this species and will add to the currently limited body of coherent Raman imaging data in biology.