Cell Speed Analysis
Cell Speed Analysis - Related Videos
09:35
Investigating Outer Hair Cell Motility with a Combination of External Alternating Electrical Field Stimulation and High-speed Image Analysis
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Cited by 3 •
2011
A reliable method to investigate outer hair cell (OHC) motile responses, including electromotility, slow motility and bending, is described. OHC motility is elicited by stimulation with an external alternating electrical field, and the method takes advantage of high-speed image recording, LED-based illumination, and last generation image analysis software.
13:31
High Speed Sub-GHz Spectrometer for Brillouin Scattering Analysis
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Cited by 42 •
2015
Here we present a protocol to build a rapid Brillouin spectrometer. Cascading virtually imaged phase array (VIPA) etalons achieve a measurement speed more than 1,000 times faster than traditional scanning Fabry-Perot spectrometers. This improvement provides the means for Brillouin analysis of tissue and biomaterials at low power levels in vivo.
07:55
High-speed Continuous-wave Stimulated Brillouin Scattering Spectrometer for Material Analysis
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Cited by 7 •
2017
We describe the construction of a rapid continuous-wave-stimulated-Brillouin-scattering (CW-SBS) spectrometer. The spectrometer employs single-frequency diode-lasers and an atomic vapor notch-filter to acquire transmission spectra of turbid/non-turbid samples with high spectral-resolution at speeds up to 100-fold faster than those of existing CW-SBS spectrometers. This improvement enables high-speed Brillouin material analysis.
06:53
Cell Fractionation of U937 Cells in the Absence of High-speed Centrifugation
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Cited by 4 •
2019
Here, we present a protocol to isolate the plasma membrane, cytoplasm and mitochondria of U937 cells without the use of high-speed centrifugation. This technique can be used to purify subcellular fractions for subsequent examination of protein localization via immunoblotting.
05:32
High-speed Video Microscopy Analysis for First-line Diagnosis of Primary Ciliary Dyskinesia
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Cited by 2 •
2022
High-speed video microscopy analysis is a relatively easy-to-perform, fast, cost-effective, and, in experienced hands, a considerably reliable tool for first-line diagnostics of primary ciliary dyskinesia, which should be available in every center involved in diagnostics and the treatment of severe lung diseases.
FAQs
Cell Speed Analysis can quantify movement using displacement, distance traveled, or velocity. These measures emphasize different aspects of motility: displacement and distance traveled describe movement in relation to position or path coverage, while velocity incorporates time. Reporting the selected measure consistently supports comparisons among cells, populations, and experimental conditions.
Defined imaging intervals create a time sequence in which cell positions can be followed and compared. This timing provides the basis for calculating how far cells move or how their movement changes during observation. Consistent intervals also help researchers compare motility measurements across experimental groups recorded under different biological conditions.
Tracking individual cells preserves information about differences in movement within the same population. A population measurement can summarize overall motility, whereas individual measurements can show how cells vary in their movement behavior. In cancer studies, this distinction helps characterize tumor-cell motility more precisely and compare heterogeneous responses to experimental changes.
Movement measurements can be compared after genetic changes, drug exposure, or alterations in the surrounding microenvironment. Differences in displacement, distance traveled, or velocity then provide quantitative evidence of changed cellular behavior. In cancer research, this comparison helps determine whether a condition is associated with altered motility or reduced invasive potential.
A typical workflow begins by recording time-lapse microscopy images at defined intervals. Researchers then identify cell positions across the image sequence, track those positions over time, and calculate displacement, distance traveled, or velocity. The resulting measurements convert recorded movement into data that can be compared between cells, populations, or experimental conditions.
The method is useful when researchers need to compare tumor-cell motility, examine invasive potential, or assess responses to genetic changes and drugs. It can also test how the surrounding microenvironment affects movement. These applications connect measurable cell behavior with studies of metastasis and support evaluation of anti-invasive treatments.