Video Microscopy
Video Microscopy - Related Videos
08:52
Live-cell Video Microscopy of Fungal Pathogen Phagocytosis
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Cited by 22 •
2013
We describe methods for live-cell video microscopy of Candida albicans phagocytosis by macrophages. These methods enable stage-specific analysis of macrophage migration, recognition, engulfment and phagosome maturation and reveal novel aspects of phagocytosis.
14:10
Video-rate Scanning Confocal Microscopy and Microendoscopy
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Cited by 14 •
2011
The complete construction of a custom, real-time confocal scanning imaging system is described. This system, which can be readily used for video-rate microscopy and microendoscopy, allows for an array of imaging geometries and applications not accessible using standard commercial confocal systems, at a fraction of the cost.
10:16
Intravital Video Microscopy Measurements of Retinal Blood Flow in Mice
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Cited by 14 •
2013
Intravital microscopy can be used in animals to visualize and measure retinal vascular diameters, bloodstream velocities, and total retinal blood flow.
07:27
Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy
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Cited by 26 •
2012
This method allows monitoring of cells in real time and quantitative measurements of different cell migration parameters such as speed, displacement, and velocity. Unlike the traditional methods, this real time approach is not based on endpoint quantitative migration measurements; instead it allows monitoring and calculating different parameters continuously.
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
Sequential frames preserve the order in which visible changes occur, allowing researchers to associate movement, growth, division, or interactions with particular moments in an experiment. This temporal record supports comparisons between stages of a process and helps distinguish brief events from changes that persist. A single image cannot provide the same chronological information.
The camera records light transmitted through or emitted by the biological specimen, converting each observation into an image frame. Image-acquisition software then assembles those frames into a video for viewing and analysis. Together, these components create a record that can be examined for dynamic patterns rather than relying only on isolated microscope images.
Fluorescence imaging is useful because it supplies light emitted by the sample as the signal recorded by the camera. When collected sequentially, those images can show how fluorescently visible structures or specimens change over time. This makes the approach relevant to live-cell observation and to tracking biological components whose behavior would be difficult to interpret from one still image.
A basic workflow begins with observing the biological specimen through a microscope and recording sequential images with a camera. Acquisition software assembles the frames into a video, after which researchers examine the sequence for changes at defined time points. Depending on the study, they may then track structures, compare conditions, or quantify movement, growth, division, or interactions.
Researchers choose time-lapse observation when the biological question concerns change over time rather than appearance at one moment. Repeated imaging can reveal movement, growth, division, or interactions and show when those events occur. This approach is therefore useful for live-cell experiments and for comparing how dynamic processes differ between experimental conditions.
Video microscopy can provide both visual records and quantitative information about biological dynamics. Researchers may follow cellular structures or organisms, measure movement, and relate observed events to time points. The resulting sequences also support comparisons between experimental conditions, helping investigators evaluate differences in growth, division, interactions, or other processes that unfold during observation.