Explore the App Center

Stratify skin equivalents into dermis and epidermis, segment the stratum corneum, high/low suprabasal and basal layers, and quantify staining intensity, area, nuclei, and number/% of marker-positive cells for each layer.

dermatology, epidermis, dermis, skin, aging, oxidative UV damage, artificial skin

Segment cultured cardiac cells, detect cardiomyocytes and fibroblasts, and quantify dot markers (CISH/FISH) per cell, including cell counts and dot number, area, and mean intensity.

cardiology, cardiomyocytes, cell culture, fibroblasts, troponin red, FISH

Classify brain regions using an AI-based classifier and detect cellular phenotypes (e.g., astrocytes) based on markers, quantify tissue areas, total cells, and phenotype counts across regions.

brain, mouse, astrocytes, machine learning

Analyze single-cell co-expression of four IF markers, segment cells into nucleus, perinuclear area, and/or cytoplasm, and export up to 20 intensity, statistic, and morphometric parameters.

co-expression, phenotyping, fluorescence, epithelial cells, immune cells

The IHC Adipocytes+ App detects adipocytes and cellular aggregates between them. Outputs include number and area measurements for adipocytes and aggregates.

adipocytes, fat tissue, fat cells, immunohistochemistry, immune cell detection

Segment murine lung sections into tumor and non-cancerous tissue using a machine learning classifier, detect hematoxylin-stained nuclei, and quantify tumor area and marker-positive cellular phenotypes.

immunohistochemistry, lung cancer, tumor microenvironment, mouse, lung

Detect microglia soma in IHC-stained samples, segment branches, and identify primary and secondary branching points to quantify cell morphology and branching complexity.

microglia, central nervous system, peripheral nervous system, phagocytosis, astrocytes, branches

The IHC Insulin Islet App detects marker-stained insulin islets, tissue area, and cell phenotypes within and outside the islets. Outputs include tissue and islet area, cell counts, and phenotype distribution.

insulin islets, pancreas, beta-cells

The IF Swiss Roll App segments tissue into subclasses (e.g., mucosa, follicles, connective tissue), detects nuclei, and identifies phenotypes via IF stains.

mouse, colon, fluorescence, immune cell follicles

The IHC Swiss Roll App segments the tissue into subclasses (mucosa, follicles, etc.), detects nuclei, and classifies phenotypes. Outputs include tissue areas, cell counts, and phenotype distribution per region.

mouse, colon, immunohistochemistry, immune cell follicles

Detect neuronal cells and reconstruct neurites/dendrites, quantify primary and secondary branches, branching points, total cell area, branch length, and branch area.

neuronal cells, microglia, central nervous system, peripheral nervous system, phagocytosis, astrocytes, branches, fluorescence

The Mucin Swiss Roll App segments tissue into subclasses, detects nuclei and mucin (e.g. PAS-stained), and outputs tissue areas, cell counts, and mucin area per region and overall.

mouse, colon, mucin, immune cell follicles