Custom-trained StarDist model to segment DAPI-stained cell nuclei in FFPE kidney sections: Method can be found in Siegerist et al.: scoMorphoFISH: A Deep-Learning enabled toolbox for single-cell single-mRNA quantification and correlative (ultra-)morphometry, bioRxiv: https://www.biorxiv.org/content/10.1101/2021.09.27.461916v
The importance of kidney biopsy, a medical procedure in which a small tissue sample is extracted fro...
A major challenge in cell and developmental biology is the automated identification and quantitation...
Image cytometry is the analysis of cell properties from microscopy image data and is used ubiquitous...
International audienceIncreasing the information depth of single kidney biopsies can improve diagnos...
BACKGROUND: Nephropathologic analyses provide important outcomes-related data in experiments with th...
Thesis (Master's)--University of Washington, 2023Recent developments in single-cell RNA sequencing (...
Background Nephropathologic analyses provide important outcomes-related data in experiments with the...
Abstract Background Nuclear segmentation is an important step for profiling aberrant regions of hist...
Genome editing simplifies the generation of new animal models for congenital disorders. However, the...
Download RDF PackageStarDist Fluorescence Nuclei Segmentation This is a StarDist model for object de...
Segmentation of 3D images to identify cells and their molecular outputs can be difficult and tedious...
Abstract Three-dimensional (3D) organoid cultures are flexible systems to interrogate cellular growt...
Cell migration and proliferation play an essential role in wound healing, development, and tumorigen...
Reconstruction of shapes and sizes of three-dimensional (3D) objects from two- dimensional (2D) info...
While astrocytes have been traditionally described as passive supportive cells, studies during the l...
The importance of kidney biopsy, a medical procedure in which a small tissue sample is extracted fro...
A major challenge in cell and developmental biology is the automated identification and quantitation...
Image cytometry is the analysis of cell properties from microscopy image data and is used ubiquitous...
International audienceIncreasing the information depth of single kidney biopsies can improve diagnos...
BACKGROUND: Nephropathologic analyses provide important outcomes-related data in experiments with th...
Thesis (Master's)--University of Washington, 2023Recent developments in single-cell RNA sequencing (...
Background Nephropathologic analyses provide important outcomes-related data in experiments with the...
Abstract Background Nuclear segmentation is an important step for profiling aberrant regions of hist...
Genome editing simplifies the generation of new animal models for congenital disorders. However, the...
Download RDF PackageStarDist Fluorescence Nuclei Segmentation This is a StarDist model for object de...
Segmentation of 3D images to identify cells and their molecular outputs can be difficult and tedious...
Abstract Three-dimensional (3D) organoid cultures are flexible systems to interrogate cellular growt...
Cell migration and proliferation play an essential role in wound healing, development, and tumorigen...
Reconstruction of shapes and sizes of three-dimensional (3D) objects from two- dimensional (2D) info...
While astrocytes have been traditionally described as passive supportive cells, studies during the l...
The importance of kidney biopsy, a medical procedure in which a small tissue sample is extracted fro...
A major challenge in cell and developmental biology is the automated identification and quantitation...
Image cytometry is the analysis of cell properties from microscopy image data and is used ubiquitous...
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