2024年12月5日 · Here, we review a decade of advancements and applications of Cell Painting, a microscopy-based cell-labeling assay aiming to capture a cell’s state, introduced in 2013 to optimize and...

4 天之前 · This ROI includes the cells of interest marked on the confocal image using the respective markers: CD3-AF488 for T cells, CD8a-PE for cytotoxic T cells and B220-AF647 for B cells.

2024年9月11日 · Le et al. review various technologies for imaging RNAs in fixed and live cells and the biological insights gained from these technologies. Zhang et al. identify and characterize supermeres as...

2021年10月25日 · Nature - Refinement of a microscopy method enables a detailed look inside cells. Efforts to generate nanoscale-resolution images of cell interiors have gained ground through the development...

2022年7月27日 · Imaging technologies drive discovery in cell biology. Innovations in microscopy hardware, imaging methods and computational analysis of large-scale, complex datasets can increase imaging...

4 天之前 · Super-resolution (SR) neural networks transform low-resolution optical microscopy images into SR images. Application of single-image SR (SISR) methods to long-term imaging has not exploited the ...

2023年7月18日 · Here, we present CellSighter, a deep-learning based pipeline to accelerate cell classification in multiplexed images. Given a small training set of expert-labeled images, CellSighter outputs...

2024年11月22日 · Here we introduce CelloType, an end-to-end model designed for cell segmentation and classification for image-based spatial omics data. Unlike the traditional two-stage approach of segmentation...

2025年1月16日 · Herein, we introduce MoDL, a deep learning algorithm for mitochondrial image segmentation and function prediction. Trained on a dataset of 20,000 manually labeled mitochondria from...

6 天之前 · A key challenge of the modern genomics era is developing empirical data-driven representations of gene function. Here we present the first unbiased morphology-based genome-wide perturbation atlas ...