Mycobacterial Viability
Mycobacterial Viability - Related Videos
09:18
Mycobacterial DNA Extraction using Bead Beating in Custom Buffer Followed by NGS Workflow
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2025
This protocol shows bead-beating combined with DNA capture bead purification provides a fast and consistent method for extracting DNA from Mycobacterium tuberculosis samples, making it an effective choice for next-generation sequencing applications.
12:03
Viability Assays for Cells in Culture
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Cited by 39 •
2014
Therapeutic compounds are often first examined in vitro with viability assays. Blind cell counts by a human observer can be highly sensitive to small changes in cell number but do not assess function. Computerized viability assays, as described here, can assess both structure and function in an objective manner.
05:47
Counting and Determining the Viability of Cultured Cells
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Cited by 19 •
2008
Determining the number of cells in culture is important in standardization of culture conditions and in performing accurate quantitation experiments. In this video, we demonstrate how cells are counted using a hemacytometer.
02:38
Fluorescence-Based Viability Assessment of Oral Anaerobic Bacteria
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2026
Source: Calatayud Arroyo, M., et al. Assessing the Viability of a Synthetic Bacterial Consortium on the In Vitro Gut Host-microbe Interface. J. Vis. Exp. (2018)The video demonstrates a method to evaluate the viability of anaerobic oral bacteria using fluorescent dyes and flow cytometry. It begins with culturing bacteria in oxygen-free broth, followed by resuspending a single colony from a blood agar plate. After incubation and dilution, the culture is stained with membrane-permeable and...
02:54
Assessing the Role of Host Immunity in Mycobacterial Infection Using a Zebrafish Model
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2026
Source: Luukinen, H., et al. Modeling Tuberculosis in Mycobacterium marinum Infected Adult Zebrafish. J. Vis. Exp. (2018).
FAQs
These readouts examine different cellular features rather than providing identical evidence. Metabolic assays indicate ongoing cellular activity, membrane-based measures assess whether cell boundaries remain intact, and colony formation tests whether cells can grow under suitable conditions. Because damage may affect these features unequally, researchers should interpret each result according to the biological state it is designed to detect.
A cell may retain detectable metabolic activity or membrane integrity without producing colonies under the conditions used for growth assessment. Conversely, a colony result specifically reflects the capacity to form visible growth in that setting. Comparing these measurements can therefore distinguish cells that remain active, cells that are damaged, and cells that retain demonstrable growth capacity.
Interpretation depends on which cellular feature the assay measures and on whether the test conditions support growth. A result based on metabolism, membrane integrity, or colony formation may describe a different state of the same population. Researchers should therefore connect the readout to the experimental question, especially when evaluating damaged cells, persistence, or antimicrobial effects.
Begin by defining whether the study requires evidence of metabolism, intact membranes, colony formation, or comparison among these features. Apply the selected viability measurement under suitable conditions, record the resulting signal or growth outcome, and interpret it in relation to the biological question. Using complementary readouts can provide a more complete picture when one feature alone is insufficient.
Viability measurements allow researchers to examine whether an antimicrobial treatment changes mycobacterial metabolism, membrane integrity, or colony-forming capacity. Comparing treated and untreated populations can reveal effects that are not captured by a single cellular feature. These results help characterize treatment activity and support the study of strategies intended to control mycobacterial infections.
In host-focused studies, viability measurements help investigate how mycobacteria persist in tissues and interact with immune defenses. They can also contribute to analyses of disease progression and transmission by indicating whether organisms retain relevant cellular activity or growth capacity. This makes viability data useful for linking microbial state with infection behavior and treatment outcomes.