AIMC Topic: Cell Nucleus

Clear Filters Showing 41 to 50 of 181 articles

Protocol for automated multivariate quantitative-image-based cytometry analysis by fluorescence microscopy of asynchronous adherent cells.

STAR protocols Jul 13, 2023
Here, we present a protocol for multivariate quantitative-image-based cytometry (QIBC) analysis by fluorescence microscopy of asynchronous adherent cells. We describe steps for the preparation, treatment, and fixation of cells, sample staining, and i...
Artificial Intelligence Histological Techniques Data Visualization Microscopy, Fluorescence Cell Nucleus
View on PubMed DOI

Deep-Fuzz: A synergistic integration of deep learning and fuzzy water flows for fine-grained nuclei segmentation in digital pathology.

PloS one Jun 23, 2023
Robust semantic segmentation of tumour micro-environment is one of the major open challenges in machine learning enabled computational pathology. Though deep learning based systems have made significant progress, their task agnostic data driven appro...
Water Machine Learning Image Processing, Computer-Assisted Deep Learning Cell Nucleus
View on PubMed DOI

FiNuTyper: Design and validation of an automated deep learning-based platform for simultaneous fiber and nucleus type analysis in human skeletal muscle.

Acta physiologica (Oxford, England) May 8, 2023
AIM: While manual quantification is still considered the gold standard for skeletal muscle histological analysis, it is time-consuming and prone to investigator bias. To address this challenge, we assembled an automated image analysis pipeline, FiNuT...
Satellite Cells, Skeletal Muscle Muscle Fibers, Skeletal Humans Deep Learning Muscle, Skeletal Cell Nucleus
View on PubMed DOI

Which Pixel to Annotate: A Label-Efficient Nuclei Segmentation Framework.

IEEE transactions on medical imaging Apr 3, 2023
Recently deep neural networks, which require a large amount of annotated samples, have been widely applied in nuclei instance segmentation of H&E stained pathology images. However, it is inefficient and unnecessary to label all pixels for a dataset o...
Supervised Machine Learning Neural Networks, Computer Cell Nucleus
View on PubMed DOI

Active mesh and neural network pipeline for cell aggregate segmentation.

Biophysical journal Mar 30, 2023
Segmenting cells within cellular aggregates in 3D is a growing challenge in cell biology due to improvements in capacity and accuracy of microscopy techniques. Here, we describe a pipeline to segment images of cell aggregates in 3D. The pipeline comb...
Neural Networks, Computer Animals Microscopy, Fluorescence Cell Nucleus Image Processing, Computer-Assisted Mice
View on PubMed DOI

Multi CNN based automatic detection of mitotic nuclei in breast histopathological images.

Computers in biology and medicine Mar 22, 2023
In breast cancer diagnosis, the number of mitotic cells in a specific area is an important measure. It indicates how far the tumour has spread, which has consequences for forecasting the aggressiveness of cancer. Mitosis counting is a time-consuming ...
Mitosis Female Breast Neoplasms Breast Cell Nucleus Humans Neural Networks, Computer
View on PubMed DOI

NuKit: A deep learning platform for fast nucleus segmentation of histopathological images.

Journal of bioinformatics and computational biology Mar 11, 2023
Nucleus segmentation represents the initial step for histopathological image analysis pipelines, and it remains a challenge in many quantitative analysis methods in terms of accuracy and speed. Recently, deep learning nucleus segmentation methods hav...
Deep Learning Cell Nucleus Image Processing, Computer-Assisted
View on PubMed DOI

Leukocyte deep learning classification assessment using Shapley additive explanations algorithm.

International journal of laboratory hematology Feb 3, 2023
INTRODUCTION: A peripheral blood smear is a basic test for hematological disease diagnosis. This test is performed manually in many places worldwide, which requires both time and qualified staff. Large laboratories are equipped with digital morpholog...
Cell Nucleus Algorithms Leukocytes Deep Learning Humans Laboratories
View on PubMed DOI

Volumetric imaging of fast cellular dynamics with deep learning enhanced bioluminescence microscopy.

Communications biology Dec 3, 2022
Bioluminescence microscopy is an appealing alternative to fluorescence microscopy, because it does not depend on external illumination, and consequently does neither produce spurious background autofluorescence, nor perturb intrinsically photosensiti...
Caenorhabditis elegans Deep Learning Cell Nucleus Mice Animals Microscopy, Fluorescence Cytoplasm Zebrafish
View on PubMed DOI

UnMICST: Deep learning with real augmentation for robust segmentation of highly multiplexed images of human tissues.

Communications biology Nov 18, 2022
Upcoming technologies enable routine collection of highly multiplexed (20-60 channel), subcellular resolution images of mammalian tissues for research and diagnosis. Extracting single cell data from such images requires accurate image segmentation, a...
Deep Learning Image Processing, Computer-Assisted Mammals Cell Nucleus Machine Learning Animals Humans
View on PubMed DOI
Popular Topics
Recent Journals