Real-time Visualization
Real-time Visualization - Related Videos
08:56
Kinetic Measurement and Real Time Visualization of Somatic Reprogramming
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Cited by 5 •
2016
The protocol presented in this study describes methods for the real-time monitoring of reprogramming progression via the kinetic measurement of positive and negative pluripotent stem cell markers using flow cytometry analysis. The protocol also includes the imaging-based assessment of morphology, and marker or reporter expression during iPSC generation.
10:13
Multi-Photon Time Lapse Imaging to Visualize Development in Real-time: Visualization of Migrating Neural Crest Cells in Zebrafish Embryos
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Cited by 7 •
2017
A combination of the advanced optical techniques of laser scanning microscopy with long wavelength multi-photon fluorescence excitation was implemented to capture high-resolution, three-dimensional, real-time imaging of neural crest migration in Tg(sox10:EGFP) and Tg(foxd3:GFP) zebrafish embryos.
07:37
Single-Molecule Real-Time Visualization of DNA Unwinding by CMG Helicase
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Cited by 1 •
2024
This protocol demonstrates performing a single-molecule assay for live visualization of DNA unwinding by CMG helicase. It describes (1) preparing a DNA substrate, (2) purifying fluorescently labeled Drosophila melanogaster CMG helicase, (3) preparing a microfluidic flow cell for total internal reflection fluorescence (TIRF) microscopy, and (4) the single-molecule DNA unwinding assay.
08:16
Movement Retraining using Real-time Feedback of Performance
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Cited by 4 •
2013
Retraining abnormal movement patterns following injury or disease is a key component of physical rehabilitation. Recent advances in technology have permitted accurate assessment of movement during a variety of tasks, with near instantaneous quantification of results. This provides new opportunities for modification of faulty movement patterns in real time.
07:05
A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
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Cited by 5 •
2017
The ability to induce and/or control neural plasticity may be critical in future treatments for neurologic disorders and the recovery from brain injury. In this paper, we present a protocol on the use of neurofeedback training with functional magnetic resonance imaging to modulate human brain function.
FAQs
Fluorescent labels, genetically encoded reporters, and other contrast methods convert biological features or activity into signals that microscopy can record repeatedly. Because images are collected across successive time points, the resulting sequence links changes in molecular activity with movement, division, transport, or cell-cell interactions instead of treating each observation as isolated.
Viability-preserving conditions are essential because the observation itself must not disrupt the biological system being measured. Maintaining cells or organisms in suitable controlled conditions allows the recorded changes to reflect ongoing biology rather than deterioration caused by the imaging environment. This makes time-resolved measurements more interpretable.
Compared with fixed-sample analysis, real-time visualization preserves the sequence and timing of events. That temporal information can show whether molecular activity accompanies a behavioral change, precedes it, or varies during it. The distinction matters when researchers need to connect cellular mechanisms with outcomes such as migration, division, or environmental interactions.
A typical workflow combines microscopy with a signal-producing readout, such as a fluorescent label, genetically encoded reporter, or another contrast method. Researchers then capture images at multiple time points while maintaining conditions that preserve viability. The resulting time-lapse record can be examined for changes in structure, activity, movement, or interactions.
Real-time visualization can track dynamic processes including cell division, migration, intracellular transport, signaling, and interactions between cells and their environment. Observing these processes as linked sequences helps investigators relate molecular activity to visible behavior, rather than assigning conclusions from a single static image.
The approach supports developmental studies, disease research, and drug evaluation by showing how biological systems change over time. It also supplies observations for quantitative models, which can represent relationships between molecular activity, cellular behavior, and environmental interactions. Its value comes from preserving temporal relationships within living biological systems.