Mtt Imaging
Mtt Imaging - Related Videos
12:19
Mapping Molecular Diffusion in the Plasma Membrane by Multiple-Target Tracing (MTT)
0 Views •
Cited by 4 •
2012
Multiple-Target Tracing is a homemade algorithm developed for tracking individually labeled molecules within the plasma membrane of living cells. Efficiently detecting, estimating and tracing molecules over time at high-density provide a user-friendly, comprehensive tool to investigate nanoscale membrane dynamics.
11:14
Anticancer Metal Complexes: Synthesis and Cytotoxicity Evaluation by the MTT Assay
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Cited by 64 •
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A method for synthesis of air-sensitive titanium and vanadium anticancer agents is described, along with the evaluation of their cytotoxic activity towards human cancer cell line by the MTT Assay.
19:34
Cellular Toxicity of Nanogenomedicine in MCF-7 Cell Line: MTT assay
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Cited by 67 •
2009
The MTT assay is an easy and reproducible colorimetric assay for evaluation of cell viability based on reduction of yellow MTT and production of water insoluble purple formazan. Here, the viability of MCF-7 cells upon treatment of nanogenomedicine has been evaluated.
04:05
Methyl Thiazolyl Tetrazolium or MTT Assay: A Colorimetric Assay to Measure Drug Resistance via Determination of Metabolic Activity in Cancer Cells
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2023
This video describes the colorimetric assay, methyl thiazole tetrazolium (MTT) assay, to measure drug-induced cytotoxicity in cancer cells and determine their metabolic activity. This assay is based on the metabolic conversion of tetrazolium salts into colored products, reflecting the mitochondrial activity of cells.
09:24
Molecular Imaging to Target Transplanted Muscle Progenitor Cells
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Cited by 3 •
2013
A non-invasive means to evaluate the success of myoblast transplantation is described. The method takes advantage of a unified fusion reporter gene composed of genes whose expression can be imaged with different imaging modalities. Here, we make use of a fluc reporter gene sequence to target cells via bioluminescence imaging.
FAQs
Cellular oxidoreductase activity drives the conversion of yellow MTT into insoluble purple formazan crystals. Imaging then records where this product appears and how intense the signal is within or around cells. Because the readout depends on metabolic activity, changes after treatment can indicate altered cellular viability or responsiveness.
Because formazan is insoluble, it forms visible crystals rather than remaining only as a dissolved color signal. Their location and intensity can be examined microscopically, allowing the assay to show whether metabolic product is distributed throughout a cell population or concentrated in particular regions. This spatial information helps reveal uneven treatment effects.
The signal primarily reflects cellular metabolic activity, so it can change when treatment alters cell function or viability. It therefore should not be interpreted as a simple cell count. In cancer research, comparing signal intensity and distribution helps characterize treatment responses while recognizing that metabolically different cells may produce different readouts.
A basic workflow links cultured tumor cells with a treatment condition, then examines MTT conversion and the resulting formazan by microscopy. The image is interpreted through crystal distribution and signal intensity, providing a spatial view of how the cells respond rather than relying only on a pooled measurement.
Imaging is particularly informative when the response is heterogeneous across the cultured cells. Bulk absorbance provides a combined metabolic readout, whereas microscopy can show where formazan is located and whether signal intensity varies among regions or cells. This distinction can help researchers identify uneven effects that an overall value may obscure.
Cancer researchers can use this approach to assess drug-induced cytotoxicity, cellular proliferation, and treatment response in cultured tumor cells. The metabolic signal provides an indication of how treatment affects living cells, while its spatial distribution adds context about heterogeneous responses. It therefore complements bulk measurements during evaluation of anticancer treatments.