Review





Similar Products

merscope verification kit  (Vizgen Inc)
90
Vizgen Inc merscope verification kit
Merscope Verification Kit, supplied by Vizgen Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/merscope verification kit/product/Vizgen Inc
Average 90 stars, based on 1 article reviews
merscope verification kit - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
vizgen merscope platform  (Vizgen Inc)
90
Vizgen Inc vizgen merscope platform
Vizgen Merscope Platform, supplied by Vizgen Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/vizgen merscope platform/product/Vizgen Inc
Average 90 stars, based on 1 article reviews
vizgen merscope platform - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
merscope system  (Vizgen Inc)
90
Vizgen Inc merscope system
Merscope System, supplied by Vizgen Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/merscope system/product/Vizgen Inc
Average 90 stars, based on 1 article reviews
merscope system - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
merscope  (Vizgen Inc)
90
Vizgen Inc merscope
Spatial transcriptomics data analysis workflow for cancer therapy resistance schematic outline of key computational steps in of spatial omics data analysis for CTR research. (A) Preprocessing: Multi‐cell resolution technologies (e.g., Visium, GeoMx DSP) typically require cell type deconvolution, whereas single‐cell or sub‐cellular resolution technologies (e.g., <t>MERSCOPE,</t> Xenium, Stereo‐seq) employ cell segmentation to delineate individual cells. (B) Data format and results: The spatial coordinates (X, Y) of cells are integrated with gene expression data to determine cell identity and spatial domain annotations. Interactions among cells are inferred to reveal tumour‐microenvironment crosstalk. (C) Spatial resolved biological tasks: Multiple downstream analyses, including cell state trajectory analysis, identification of spatial domains, interaction among cells and detection of spatially variable genes (SVGs), can be used to provide insights into potential spatial heterogeneity and crosstalk associated with CTR.
Merscope, supplied by Vizgen Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/merscope/product/Vizgen Inc
Average 90 stars, based on 1 article reviews
merscope - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
vizgen merscope ultra  (Vizgen Inc)
90
Vizgen Inc vizgen merscope ultra
Spatial transcriptomics data analysis workflow for cancer therapy resistance schematic outline of key computational steps in of spatial omics data analysis for CTR research. (A) Preprocessing: Multi‐cell resolution technologies (e.g., Visium, GeoMx DSP) typically require cell type deconvolution, whereas single‐cell or sub‐cellular resolution technologies (e.g., <t>MERSCOPE,</t> Xenium, Stereo‐seq) employ cell segmentation to delineate individual cells. (B) Data format and results: The spatial coordinates (X, Y) of cells are integrated with gene expression data to determine cell identity and spatial domain annotations. Interactions among cells are inferred to reveal tumour‐microenvironment crosstalk. (C) Spatial resolved biological tasks: Multiple downstream analyses, including cell state trajectory analysis, identification of spatial domains, interaction among cells and detection of spatially variable genes (SVGs), can be used to provide insights into potential spatial heterogeneity and crosstalk associated with CTR.
Vizgen Merscope Ultra, supplied by Vizgen Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/vizgen merscope ultra/product/Vizgen Inc
Average 90 stars, based on 1 article reviews
vizgen merscope ultra - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
merscope mouse brain dataset  (Vizgen Inc)
90
Vizgen Inc merscope mouse brain dataset
Spatial transcriptomics data analysis workflow for cancer therapy resistance schematic outline of key computational steps in of spatial omics data analysis for CTR research. (A) Preprocessing: Multi‐cell resolution technologies (e.g., Visium, GeoMx DSP) typically require cell type deconvolution, whereas single‐cell or sub‐cellular resolution technologies (e.g., <t>MERSCOPE,</t> Xenium, Stereo‐seq) employ cell segmentation to delineate individual cells. (B) Data format and results: The spatial coordinates (X, Y) of cells are integrated with gene expression data to determine cell identity and spatial domain annotations. Interactions among cells are inferred to reveal tumour‐microenvironment crosstalk. (C) Spatial resolved biological tasks: Multiple downstream analyses, including cell state trajectory analysis, identification of spatial domains, interaction among cells and detection of spatially variable genes (SVGs), can be used to provide insights into potential spatial heterogeneity and crosstalk associated with CTR.
Merscope Mouse Brain Dataset, supplied by Vizgen Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/merscope mouse brain dataset/product/Vizgen Inc
Average 90 stars, based on 1 article reviews
merscope mouse brain dataset - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
merscope 300 gene imaging cartridge  (Vizgen Inc)
90
Vizgen Inc merscope 300 gene imaging cartridge
Spatial transcriptomics data analysis workflow for cancer therapy resistance schematic outline of key computational steps in of spatial omics data analysis for CTR research. (A) Preprocessing: Multi‐cell resolution technologies (e.g., Visium, GeoMx DSP) typically require cell type deconvolution, whereas single‐cell or sub‐cellular resolution technologies (e.g., <t>MERSCOPE,</t> Xenium, Stereo‐seq) employ cell segmentation to delineate individual cells. (B) Data format and results: The spatial coordinates (X, Y) of cells are integrated with gene expression data to determine cell identity and spatial domain annotations. Interactions among cells are inferred to reveal tumour‐microenvironment crosstalk. (C) Spatial resolved biological tasks: Multiple downstream analyses, including cell state trajectory analysis, identification of spatial domains, interaction among cells and detection of spatially variable genes (SVGs), can be used to provide insights into potential spatial heterogeneity and crosstalk associated with CTR.
Merscope 300 Gene Imaging Cartridge, supplied by Vizgen Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/merscope 300 gene imaging cartridge/product/Vizgen Inc
Average 90 stars, based on 1 article reviews
merscope 300 gene imaging cartridge - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

Image Search Results


Spatial transcriptomics data analysis workflow for cancer therapy resistance schematic outline of key computational steps in of spatial omics data analysis for CTR research. (A) Preprocessing: Multi‐cell resolution technologies (e.g., Visium, GeoMx DSP) typically require cell type deconvolution, whereas single‐cell or sub‐cellular resolution technologies (e.g., MERSCOPE, Xenium, Stereo‐seq) employ cell segmentation to delineate individual cells. (B) Data format and results: The spatial coordinates (X, Y) of cells are integrated with gene expression data to determine cell identity and spatial domain annotations. Interactions among cells are inferred to reveal tumour‐microenvironment crosstalk. (C) Spatial resolved biological tasks: Multiple downstream analyses, including cell state trajectory analysis, identification of spatial domains, interaction among cells and detection of spatially variable genes (SVGs), can be used to provide insights into potential spatial heterogeneity and crosstalk associated with CTR.

Journal: Clinical and Translational Medicine

Article Title: Cancer therapy resistance from a spatial‐omics perspective

doi: 10.1002/ctm2.70396

Figure Lengend Snippet: Spatial transcriptomics data analysis workflow for cancer therapy resistance schematic outline of key computational steps in of spatial omics data analysis for CTR research. (A) Preprocessing: Multi‐cell resolution technologies (e.g., Visium, GeoMx DSP) typically require cell type deconvolution, whereas single‐cell or sub‐cellular resolution technologies (e.g., MERSCOPE, Xenium, Stereo‐seq) employ cell segmentation to delineate individual cells. (B) Data format and results: The spatial coordinates (X, Y) of cells are integrated with gene expression data to determine cell identity and spatial domain annotations. Interactions among cells are inferred to reveal tumour‐microenvironment crosstalk. (C) Spatial resolved biological tasks: Multiple downstream analyses, including cell state trajectory analysis, identification of spatial domains, interaction among cells and detection of spatially variable genes (SVGs), can be used to provide insights into potential spatial heterogeneity and crosstalk associated with CTR.

Article Snippet: , Imaging based , Vizgen MERSCOPE , FF, FFPE , 0.1 μm , 1 cm × 1 cm , 1000 , –.

Techniques: Gene Expression

Spatial transcriptomics data analysis workflow for cancer therapy resistance schematic outline of key computational steps in of spatial omics data analysis for CTR research. (A) Preprocessing: Multi‐cell resolution technologies (e.g., Visium, GeoMx DSP) typically require cell type deconvolution, whereas single‐cell or sub‐cellular resolution technologies (e.g., MERSCOPE, Xenium, Stereo‐seq) employ cell segmentation to delineate individual cells. (B) Data format and results: The spatial coordinates (X, Y) of cells are integrated with gene expression data to determine cell identity and spatial domain annotations. Interactions among cells are inferred to reveal tumour‐microenvironment crosstalk. (C) Spatial resolved biological tasks: Multiple downstream analyses, including cell state trajectory analysis, identification of spatial domains, interaction among cells and detection of spatially variable genes (SVGs), can be used to provide insights into potential spatial heterogeneity and crosstalk associated with CTR.

Journal: Clinical and Translational Medicine

Article Title: Cancer therapy resistance from a spatial‐omics perspective

doi: 10.1002/ctm2.70396

Figure Lengend Snippet: Spatial transcriptomics data analysis workflow for cancer therapy resistance schematic outline of key computational steps in of spatial omics data analysis for CTR research. (A) Preprocessing: Multi‐cell resolution technologies (e.g., Visium, GeoMx DSP) typically require cell type deconvolution, whereas single‐cell or sub‐cellular resolution technologies (e.g., MERSCOPE, Xenium, Stereo‐seq) employ cell segmentation to delineate individual cells. (B) Data format and results: The spatial coordinates (X, Y) of cells are integrated with gene expression data to determine cell identity and spatial domain annotations. Interactions among cells are inferred to reveal tumour‐microenvironment crosstalk. (C) Spatial resolved biological tasks: Multiple downstream analyses, including cell state trajectory analysis, identification of spatial domains, interaction among cells and detection of spatially variable genes (SVGs), can be used to provide insights into potential spatial heterogeneity and crosstalk associated with CTR.

Article Snippet: , Vizgen MERSCOPE ULTRA , FF, FFPE, adherent or suspended cells , ≤0.02 μm , 1.25 cm 2 /3 cm 2 , 1000 , –.

Techniques: Gene Expression