<p>(A) The sum of Gaussian curve fits provides qualitative visualization of cellular heterogeneity. A heterogeneity index (H) indicates low cellular heterogeneity for the control and combination treatment groups compared with higher heterogeneity for the single agent treatment groups. (B) Individual Gaussian curves were plotted and thresholds between the means of the Gaussian curves were color coded to inform spatial mapping, where the red and blue colors represent distinct subpopulations. The total area under the curves is equal across treatment groups. Spatial mapping provides relative locations of cell subpopulations.</p
(a) Cell images and area reducing ratio of KATO III human gastric cancer cell line and #2 patient-de...
In evaluation of cell viability and apoptosis, spatial heterogeneity is quantified for cancerous cel...
In evaluation of cell viability and apoptosis, spatial heterogeneity is quantified for cancerous cel...
Background: Measures of spatial intratumor heterogeneity are potentially important diagnostic biomar...
Quantitative characterization of the tumor microenvironment, including its immuno-architecture, is i...
AbstractSubpopulations of cells that escape anti-cancer treatment can cause relapse in cancer patien...
Intra-tumour heterogeneity creates a major challenge in cancer treatment; while some cells in the tu...
At very fine resolution the stochastic nature of gene expression and penetrance leading to phenotypi...
Abstract Background The extent of cellular heterogene...
Subpopulations of cells that escape anti-cancer treatment can cause relapse in cancer patients. Ther...
Tumors are unique and complex ecosystems, in which heterogeneous cell subpopulations with variable m...
Quantitative characterization of the tumor microenvironment, including its immuno-architecture, is i...
Head and neck squamous cell carcinoma (HNSCC) is a diverse group of cancers defined by their locali...
Tumors are unique and complex ecosystems, in which heterogeneous cell subpopulations with variable m...
A major component of cancer’s complexity lies in its heterogeneity. Because cancer heterogeneity can...
(a) Cell images and area reducing ratio of KATO III human gastric cancer cell line and #2 patient-de...
In evaluation of cell viability and apoptosis, spatial heterogeneity is quantified for cancerous cel...
In evaluation of cell viability and apoptosis, spatial heterogeneity is quantified for cancerous cel...
Background: Measures of spatial intratumor heterogeneity are potentially important diagnostic biomar...
Quantitative characterization of the tumor microenvironment, including its immuno-architecture, is i...
AbstractSubpopulations of cells that escape anti-cancer treatment can cause relapse in cancer patien...
Intra-tumour heterogeneity creates a major challenge in cancer treatment; while some cells in the tu...
At very fine resolution the stochastic nature of gene expression and penetrance leading to phenotypi...
Abstract Background The extent of cellular heterogene...
Subpopulations of cells that escape anti-cancer treatment can cause relapse in cancer patients. Ther...
Tumors are unique and complex ecosystems, in which heterogeneous cell subpopulations with variable m...
Quantitative characterization of the tumor microenvironment, including its immuno-architecture, is i...
Head and neck squamous cell carcinoma (HNSCC) is a diverse group of cancers defined by their locali...
Tumors are unique and complex ecosystems, in which heterogeneous cell subpopulations with variable m...
A major component of cancer’s complexity lies in its heterogeneity. Because cancer heterogeneity can...
(a) Cell images and area reducing ratio of KATO III human gastric cancer cell line and #2 patient-de...
In evaluation of cell viability and apoptosis, spatial heterogeneity is quantified for cancerous cel...
In evaluation of cell viability and apoptosis, spatial heterogeneity is quantified for cancerous cel...