Nathalie Gaudreault

TL;DR: A framework for multi-dimensional analysis of single cells to study the relationships between gene expression and subcellular organization and to develop a more nuanced description of cell states is established.

TL;DR: The QUAREP-LiMi initiative as mentioned in this paper aims to improve the overall quality and reproducibility of light microscope image data by introducing broadly accepted standard practices and accurately captured image data metrics.

TL;DR: This work developed a reproducible microscope imaging pipeline to generate a high-quality dataset of 3D, high-resolution images of over 200,000 live cells from 25 isogenic human induced pluripotent stem cell (hiPSC) lines, and developed a new multi-part and generalizable analysis approach of the locations, amounts, and variation of these 25 cellular structures.

TL;DR: In this article, the authors developed a quantitative, imaging-based platform for the systematic and automated classification of subcellular organization in single cells and used this platform to quantify subcellularity and gene expression in >30,000 individual human induced pluripotent stem cell-derived cardiomyocytes, producing a publicly available dataset that describes the population distributions of local and global sarcomere organization, mRNA abundance and correlations between these traits.

TL;DR: The 4D Nucleome Initiative (4DN) and the BioImaging North America (BINA)-OME (NBO namespace) as mentioned in this paper have proposed a set of metadata specifications for light microscopy data that scale with experimental intent and with the complexity of the instrumentation and analytical requirements.