Results 131 to 140 of about 9,990 (205)
A generative benchmark for evaluating the performance of fluorescent cell image segmentation
Fluorescent cell imaging technology is fundamental in life science research, offering a rich source of image data crucial for understanding cell spatial positioning, differentiation, and decision-making mechanisms.
Jun Tang +3 more
doaj +1 more source
Additional file 1. Operation and processing steps of the MeioSeed Algorithm. Additional text from the results section describing how MeioSeed should be operated and which steps the CellProfiler algorithm takes to process fluorescence microscopy images ...
Peter van Loon (5119082) +3 more
core +1 more source
A CellProfiler computational pipeline to quantify localization of PPM1H on mitochondria v1
Here we present a CellProfiler (1) software pipeline to quantify the localization of PPM1H on mitochondria. In this work, we have fragmented the mitochondria by hypotonic swelling to facilitate localization and highlight membrane contacts (2); PPM1H-mApple labeled pixels that coincide with GFP-Mito labeled pixels are scored.
Ebsy Jaimon, Suzanne R Pfeffer
openaire +1 more source
Attention-based deep learning for accurate cell image analysis
High-content analysis (HCA) holds enormous potential for drug discovery and research, but widely used methods can be cumbersome and yield inaccurate results.
Xiangrui Gao +8 more
doaj +1 more source
Evaluating feature extraction in ovarian cancer cell line co-cultures using deep neural networks
Single-cell image analysis is crucial for studying drug effects on cellular morphology and phenotypic changes. Most studies focus on single cell types, overlooking the complexity of cellular interactions.
Osheen Sharma +6 more
doaj +1 more source
Histopathology is critical for disease diagnosis, and digital pathology has transformed traditional workflows by digitizing slides, enabling remote consultations, and enhancing analysis through computational methods.
Zahoor Ahmad +6 more
doaj +1 more source
CP2Image: Generating High-Quality Single-Cell Images Using CellProfiler Representations
Single-cell high-throughput microscopy images contain key biological information underlying normal and pathological cellular processes. Image-based analysis and profiling are powerful and promising for extracting this information but are made difficult ...
Cutiongco, Marie F.A. +3 more
core +4 more sources
Background Hepatocellular carcinoma (HCC) is the most common primary liver cancer, characterized by high heterogeneity and poor prognosis. Chromatin remodeling regulates chromatin structure and function, and its dysregulation promotes tumor progression ...
Shiyang Yin +16 more
doaj +1 more source
Development of a cellprofiler pipeline to evaluate adipocyte differentiation
Obesity is a complex chronic disease characterized by excessive body fat accumulation, with increasingly prevalence worldwide, burdening individuals and healthcare systems, thus urgent research is needed. (1,2) Adipocytes, the major cellular component of adipose tissue, are cells vastly used by the scientific community for in vitro studies of obesity. (
Andrade, João +3 more
openaire +1 more source
Hypothyroidism and Thyroxine-Induced Hyperthyroidism Differentially Affect Cathepsins, Mct8, and Thyroid Tissue Architecture in Male Mice. [PDF]
Rehders M +5 more
europepmc +1 more source

