Real-time Cell Analysis
Real-time Cell Analysis - Related Videos
04:23
Real-Time Analysis of Resident T-cell Migration in Different Tumor Regions Using Confocal Microscopy
0 Views •
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.
03:52
Cellular Impedance-Based Analysis for Monitoring of Cellular Processes in Real-Time
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2025
In this video, we demonstrate the process of real-time monitoring of cellular events, including the proliferation of adherent cells, via a cellular impedance assay. Here, the adherent cells act as insulators, restricting the current flow between the electrodes and increasing the impedance.
07:00
qPCRTag Analysis - A High Throughput, Real Time PCR Assay for Sc2.0 Genotyping
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Cited by 18 •
2015
Designer chromosomes of the Synthetic Yeast Genome project, Sc2.0, can be distinguished from their native counterparts using a PCR-based genotyping assay called PCRTagging, which has a presence/absence endpoint. Here we describe a high-throughput real time PCR detection method for PCRTag genotyping.
09:02
Monitoring Influenza Virus Survival Outside the Host Using Real-Time Cell Analysis
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2021
Reported here is a protocol for the quantification of infectious viral particles using real-time monitoring of electrical impedance of infected cells. A practical application of this method is presented by quantifying influenza A virus decay under different physicochemical parameters mimicking environmental conditions.
08:53
Assay to Measure Nucleocytoplasmic Transport in Real Time within Motor Neuron-like NSC-34 Cells
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Cited by 6 •
2017
This protocol describes a method to sensitively measure the nucleocytoplasmic transport rate within motor neuron-like NSC-34 cells by quantifying the real-time change in the nuclear import of a NLS-NES-GFP protein.
FAQs
Electrical impedance changes when cells attach to and spread across a sensor surface. As these physical interactions alter the measured electrical signal, the resulting time-resolved pattern can indicate changes in cell behavior, growth, or viability. This approach therefore converts cellular attachment and spreading into a continuously trackable readout without requiring repeated endpoint measurements.
Optical imaging can follow cellular morphology and movement, while fluorescent reporters can indicate gene expression or intracellular activity. These readouts provide information about specific visual or molecular changes that impedance alone may not distinguish. Selecting between them depends on whether the experiment focuses on physical behavior, motility, gene regulation, or activity inside the cell.
Continuous measurements show when a response begins, changes, or disappears rather than only describing the final state. This time-resolved view can reveal transient cellular effects and distinguish different response patterns that might appear identical at a single endpoint. Such information strengthens the evaluation of dynamic drug responses, cytotoxicity, and signaling changes in cultured cells.
A typical workflow begins with cultured cells placed in a platform that uses electrical sensors, optical imaging, or fluorescent reporters. The selected system then records changes in the relevant signal as cells grow, move, remain viable, or respond to treatment. Researchers analyze the resulting time course to connect signal changes with cellular behavior or function.
Depending on the platform and readout, experiments can track proliferation, cytotoxicity, migration, signaling, morphology, gene expression, intracellular activity, and drug responses. These outcomes are measured as changing patterns over time rather than as isolated observations. The combined information can show both the magnitude and timing of a cellular response, supporting more informative biological assays.
Real-time cell analysis helps evaluate therapeutic candidates by showing how living cells respond dynamically to treatment, including potentially transient effects or changes in viability and function. It also supports studies of disease mechanisms by monitoring altered proliferation, migration, signaling, or intracellular activity. These applications make the method relevant to biological techniques that investigate both intervention effects and cellular dysfunction.