t-sne spatial segmentation Search Results


t-sne spatial segmentation  (MathWorks Inc)
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MathWorks Inc t-sne spatial segmentation
Heterogeneity of tumor histomorphology and tumor metabolic phenotype. (A) Haematoxylin and eosin (H&E) stained image of Lewis lung cancer. (B) Left: Image of tumor tissue spatial segmentation through automatic pixel labeling using t -distributed <t>stochastic</t> <t>neighbor</t> <t>embedding</t> ( t <t>-SNE).</t> Right: t -SNE 3D plot visualizing the distribution of four clusters. (C) Mass spectra of the four microregions in A. (D) Mass spectrometry images of representive metabolites in four types of cancers. The area drawn by the red and blue line refers to the cancerous area and paracancerous area, respectively; TCA: tricarboxylic acid; CHK: choline kinase.
T Sne Spatial Segmentation, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Heterogeneity of tumor histomorphology and tumor metabolic phenotype. (A) Haematoxylin and eosin (H&E) stained image of Lewis lung cancer. (B) Left: Image of tumor tissue spatial segmentation through automatic pixel labeling using t -distributed stochastic neighbor embedding ( t -SNE). Right: t -SNE 3D plot visualizing the distribution of four clusters. (C) Mass spectra of the four microregions in A. (D) Mass spectrometry images of representive metabolites in four types of cancers. The area drawn by the red and blue line refers to the cancerous area and paracancerous area, respectively; TCA: tricarboxylic acid; CHK: choline kinase.

Journal: Journal of Pharmaceutical Analysis

Article Title: Discovering metabolic vulnerability using spatially resolved metabolomics for antitumor small molecule-drug conjugates development as a precise cancer therapy strategy

doi: 10.1016/j.jpha.2023.02.010

Figure Lengend Snippet: Heterogeneity of tumor histomorphology and tumor metabolic phenotype. (A) Haematoxylin and eosin (H&E) stained image of Lewis lung cancer. (B) Left: Image of tumor tissue spatial segmentation through automatic pixel labeling using t -distributed stochastic neighbor embedding ( t -SNE). Right: t -SNE 3D plot visualizing the distribution of four clusters. (C) Mass spectra of the four microregions in A. (D) Mass spectrometry images of representive metabolites in four types of cancers. The area drawn by the red and blue line refers to the cancerous area and paracancerous area, respectively; TCA: tricarboxylic acid; CHK: choline kinase.

Article Snippet: The t -distributed stochastic neighbor embedding ( t -SNE) spatial segmentation was performed using MATLAB 2018a (MathWorks, Natick, MA, USA) with self-written code ( ).

Techniques: Staining, Labeling, Mass Spectrometry