Real-time Microscopy
Real-time Microscopy - Related Videos
16:10
A TIRF Microscopy Technique for Real-time, Simultaneous Imaging of the TCR and its Associated Signaling Proteins
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Cited by 13 •
2012
The compartmentalization of proteins either within the plasma membrane or into intracellular locations is one regulatory mechanism that can greatly influence signaling outcomes; hence, to understand signaling it is important to study the spatial and temporal behavior of the proteins involved. We describe here a TIRF microscopy based system to study signal transduction in T cells, but is broadly applicable.
06:31
Real-time Imaging of Plant Cell Surface Dynamics with Variable-angle Epifluorescence Microscopy
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Cited by 10 •
2015
The goal of this protocol is to demonstrate how to monitor fluorescently-tagged protein dynamics on plant cell surfaces with variable-angle epifluorescence microscopy, showing blinking dots of GFP-tagged PATROL1, a membrane trafficking protein, in the cell cortex of the stomatal complex in Arabidopsis thaliana.
04:23
Real-Time Analysis of Resident T-cell Migration in Different Tumor Regions Using Confocal Microscopy
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2025
This video describes the imaging of resident tumor-infiltrating CD8 T cells labeled with fluorescently coupled antibodies within human lung tumor slices. This technique permits real-time analyses of CD8 T cell migration using confocal microscopy.
10:34
FRET Microscopy for Real-time Monitoring of Signaling Events in Live Cells Using Unimolecular Biosensors
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Cited by 29 •
2012
Förster resonance energy transfer (FRET) microscopy is a powerful technique for real-time monitoring of signaling events in live cells using various biosensors as reporters. Here we describe how to build a customized epifluorescence FRET imaging system from commercially available components and how to use it for FRET experiments.
07:26
In Situ Microscopy for Real-time Determination of Single-cell Morphology in Bioprocesses
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Cited by 5 •
2019
A photo-optical in situ microscopy device was developed to monitor the size of single cells directly in the cell suspension. The real-time measurement is conducted by coupling the photo-optical sterilizable probe to an automated image analysis. Morphological changes appear with dependence on the growth state and cultivation conditions.
FAQs
By collecting sequential images from the same living specimen, researchers can follow whether a change appears briefly, persists, or develops over time. This temporal record prevents a single endpoint from obscuring intermediate behavior. In cancer studies, the distinction helps clarify whether a treatment response reflects a transient alteration or a sustained effect on tumor-cell activity.
Fluorescence and transmitted light provide alternative ways to visualize living specimens as events unfold. Sequential images from either approach can support measurement of changes in cell shape, movement, division, death, or interactions. Selecting between these imaging modes allows researchers to document the cellular features most relevant to a particular cancer model and experimental question.
Sequential images support quantitative analysis of cell shape, movement, division, death, and interactions. These measurements turn visual changes into time-resolved observations rather than isolated impressions. In cancer research, tracking such behaviors can reveal patterns of tumor-cell migration, invasion, proliferation, and treatment response that may be missed when only a final observation is examined.
Single-endpoint imaging shows the specimen at one selected stage, whereas real-time microscopy preserves the sequence leading to that stage. The sequence can expose when a cellular event begins, how it changes, and whether it continues. This comparison is especially useful when cancer-related behaviors develop progressively or when early and late treatment effects differ.
A basic workflow places a living specimen under controlled environmental conditions, acquires sequential images over time using fluorescence or transmitted light, and then quantifies relevant cellular changes. The resulting time series can be examined for movement, division, death, shape changes, or interactions. This approach links image acquisition directly to longitudinal measurement of biological behavior.
Cultures and organoids allow researchers to observe cellular behavior repeatedly within the same model system. Real-time microscopy can follow changes across multiple time points, supporting longitudinal analysis of tumor-cell movement, invasion, proliferation, or treatment response. Using these models also reduces the need to prepare separate samples for every time point in an experiment.
The method connects dynamic cellular behavior with cancer-related processes by showing how tumor cells migrate, invade, proliferate, interact, or respond to treatment over time. Researchers can compare these behaviors across the observation period and identify persistent versus temporary responses. This provides context for interpreting disease progression in cultures, organoids, and other model systems.