Tumor Cell Measurement
Tumor Cell Measurement - Related Videos
03:34
Spatial Measurement of Tumor Interstitial Fluid Pressure: A Method to Measure the Interstitial Fluid Pressure
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2023
This video describes a technique of measuring the interstitial fluid pressure within a tumor by perfusion imaging using an image-guided robotic system. Measurements are compared to the intra-tumoral accumulation of liposomes, within a solid tumor.
08:11
Measuring Growth and Gene Expression Dynamics of Tumor-Targeted S. Typhimurium Bacteria
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Cited by 22 •
2013
The goal of these experiments is to generate quantitative time-course data on the growth and gene expression dynamics of attenuated S. typhimurium bacterial colonies growing inside tumors. This video covers tumor cell preparation and implantation, bacteria preparation and injection, whole-animal luminescence imaging, tumor excision, and bacterial colony counting.
02:42
An In Vitro Assay to Evaluate the Anti-Tumor Activity of Tumor-Specific CAR T Cells
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2025
This video demonstrates an in vitro assay to validate chimeric antigen receptor (CAR) T cell activity. B-cell lymphoma cells expressing CD19 antigen and cytoplasmic luciferase are co-cultured with CD19-specific CAR T cells. CAR binding to CD19 on a tumor induces the CAR T cells to release cytokines and toxins that cause tumor cell cytotoxicity. The CAR T cell activity is evaluated by quantifying the released cytokine and decreased luciferase-mediated bioluminescence in the tumor cells.
10:04
Tractable In Vivo Reprogramming of Tumor Cells to Type 1 Conventional Dendritic Cell-like Cells
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2025
This protocol describes the in vivo reprogramming of mouse cancer cells into type 1 dendritic-like cells within the tumor microenvironment through enforced expression of the transcription factors PU.1, IRF8, and BATF3.
10:15
Isolation and Culture Expansion of Tumor-specific Endothelial Cells
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Cited by 20 •
2015
We report a reliable method to isolate and culture primary tumor-specific endothelial cells from genetically engineered mouse models.
FAQs
Each method selects a measurable cellular feature and converts it into a quantitative readout. Microscopy and automated image analysis can capture cell number, size, or morphology; cell counting focuses on abundance; flow cytometry and metabolic assays provide measurements under their respective assay conditions. The appropriate readout depends on whether the study emphasizes structure, viability, or growth.
Defined conditions make measurements comparable across samples and experiments. Without consistent conditions, observed differences may reflect changes in the measurement environment rather than biology. Standardization therefore strengthens reproducibility when comparing cancer cell lines or evaluating treatment responses. It also helps researchers interpret numerical changes as evidence related to proliferation, survival, or other measured tumor-cell properties.
Method selection should match the feature under study. Microscopy and automated image analysis are suited to measurements involving morphology or size, whereas cell counting emphasizes cell number. Flow cytometry and metabolic assays offer alternative quantitative approaches for evaluating cellular responses under defined conditions. Comparing methods can clarify which readout best addresses a study of viability or growth.
Researchers first specify the feature and comparison of interest, such as cell number, morphology, viability, or growth. They then select microscopy, image analysis, cell counting, flow cytometry, or a metabolic assay, perform measurements under defined conditions, and convert the observations into numerical data. This sequence supports consistent comparisons among samples.
Measurements provide numerical evidence for comparing cancer cells exposed to drugs or radiation with relevant experimental conditions. A study may track altered cell number, size, morphology, viability, or growth after exposure. These readouts help determine whether an intervention is associated with changes in tumor-cell behavior and support evaluation of experimental outcomes.
In cancer research, standardized measurements help characterize tumor progression and compare cancer cell lines using consistent numerical outcomes. The resulting data can contribute to models, biomarker development, and therapeutic strategies. Because measurements can address proliferation and survival as well as structural features, they connect cellular observations with broader questions about tumor biology and treatment response.