Image-based cell profiling is a high-throughput strategy for the quantification of phenotypic
differences among a variety of cell populations. It paves the way to studying biological …

Single-cell segmentation is typically a crucial task of image-based cellular analysis. We
present nucleAIzer, a deep-learning approach aiming toward a truly general method for …

Identifying nuclei is often a critical first step in analyzing microscopy images of cells and
classical image processing algorithms are most commonly used for this task. Recent …

Recent advancements in deep learning have revolutionized the way microscopy images of
cells are processed. Deep learning network architectures have a large number of …

The scale of biological microscopy has increased dramatically over the past ten years, with
the development of new modalities supporting collection of high-resolution fluorescence …

The paradigm of molecular histopathology is shifting from a single-marker
immunohistochemistry towards multiplexed detection of markers to better understand the …

Tertiary lymphoid structures (TLS) are ectopic aggregates of lymphoid cells in inflamed,
infected, or tumoral tissues that are easily recognized on an H&E histology slide as discrete …

Accurate nuclei segmentation, as an indispensable basis and core link for multi-cell cervical
image analysis, plays an important role in automatic pre-cancer detection. However, poor …

Industrial cell culture processes are inherently expensive, time-consuming, and variable.
These limitations have become a critical bottleneck for the industrial translation of human …

The invariant development and transparent body of the nematode Caenorhabditis elegans
enables complete delineation of cell lineages throughout development. Despite extensive …