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Robust nucleus/cell detection and segmentation in digital pathology and microscopy images: a comprehensive review
Digital pathology and microscopy image analysis is widely used for comprehensive studies
of cell morphology or tissue structure. Manual assessment is labor intensive and prone to …
of cell morphology or tissue structure. Manual assessment is labor intensive and prone to …
[HTML][HTML] Machine learning and image-based profiling in drug discovery
The increase in imaging throughput, new analytical frameworks and high-performance
computational resources open new avenues for data-rich phenotypic profiling of small …
computational resources open new avenues for data-rich phenotypic profiling of small …
Cellpose3: one-click image restoration for improved cellular segmentation
Generalist methods for cellular segmentation have good out-of-the-box performance on a
variety of image types; however, existing methods struggle for images that are degraded by …
variety of image types; however, existing methods struggle for images that are degraded by …
Cellpose: a generalist algorithm for cellular segmentation
Many biological applications require the segmentation of cell bodies, membranes and nuclei
from microscopy images. Deep learning has enabled great progress on this problem, but …
from microscopy images. Deep learning has enabled great progress on this problem, but …
Learning representations for image-based profiling of perturbations
Measuring the phenotypic effect of treatments on cells through imaging assays is an efficient
and powerful way of studying cell biology, and requires computational methods for …
and powerful way of studying cell biology, and requires computational methods for …
An automatic learning-based framework for robust nucleus segmentation
Computer-aided image analysis of histopathology specimens could potentially provide
support for early detection and improved characterization of diseases such as brain tumor …
support for early detection and improved characterization of diseases such as brain tumor …
CellProfiler: image analysis software for identifying and quantifying cell phenotypes
Biologists can now prepare and image thousands of samples per day using automation,
enabling chemical screens and functional genomics (for example, using RNA interference) …
enabling chemical screens and functional genomics (for example, using RNA interference) …
Accurate information transmission through dynamic biochemical signaling networks
Stochasticity inherent to biochemical reactions (intrinsic noise) and variability in cellular
states (extrinsic noise) degrade information transmitted through signaling networks. We …
states (extrinsic noise) degrade information transmitted through signaling networks. We …
EBImage—an R package for image processing with applications to cellular phenotypes
EBImage provides general purpose functionality for reading, writing, processing and
analysis of images. Furthermore, in the context of microscopy-based cellular assays …
analysis of images. Furthermore, in the context of microscopy-based cellular assays …
CellProfiler™: free, versatile software for automated biological image analysis
Careful visual examination of biological samples is quite powerful, but many visual analysis
tasks done in the laboratory are repetitive, tedious, and subjective. Here we describe the use …
tasks done in the laboratory are repetitive, tedious, and subjective. Here we describe the use …