Real-time Invasion Monitoring
Real-time Invasion Monitoring - Related Videos
14:25
Assessment of Ovarian Cancer Spheroid Attachment and Invasion of Mesothelial Cells in Real Time
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Cited by 21 •
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Ovarian cancer cell invasion into the mesothelial lining of the peritoneum is a dynamic process over time. Utilizing a real time analyzer, the invasive capacity of ovarian cancer cells in a spheroid-mesothelial cell co-culture model can be quantified over prolonged time periods, providing insights into factors regulating the metastatic process.
08:51
A Real-time Electrical Impedance Based Technique to Measure Invasion of Endothelial Cell Monolayer by Cancer Cells
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This article describes an in vitro technique for monitoring cancer cells invading through a monolayer of endothelial cells. The data is acquired in real-time as a function of changes in impedance on the surface of electrodes at the well bottom.
11:05
Capillary Electrophoresis to Monitor Peptide Grafting onto Chitosan Films in Real Time
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Cited by 1 •
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Free solution capillary electrophoresis is a fast, cheap and robust analytical method that enables the quantitative monitoring of chemical reactions in real time. Its utility for rapid, convenient and precise analysis is demonstrated here through analysis of covalent peptide grafting onto chitosan films for improved cell adhesion.
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.
04:47
Autonomously Bioluminescent Mammalian Cells for Continuous and Real-time Monitoring of Cytotoxicity
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Cited by 7 •
2013
Mammalian cells expressing the bacterial bioluminescence gene cassette (lux) produce light autonomously. The resulting bioluminescent dynamics upon chemical exposure have been demonstrated to reflect the treatment effects on cellular growth and metabolism, making these cells an inexpensive, continuous, real-time toxicity screening tool that can easily be adapted for high-throughput automation.
FAQs
Continuous sampling captures changes that occur during invasion rather than only recording the final position of cells. Time-lapse observations can reveal transient movement patterns, temporary morphological changes, and short-lived interactions with matrix barriers. These dynamic features may distinguish tumor cell populations or treatment responses that appear similar in an endpoint measurement, improving interpretation of invasive behavior.
Fluorescent markers help identify and follow cells during live imaging, while automated image analysis converts image sequences into measurable invasion features. Depending on the experiment, analysis can quantify movement speed, direction, and overall extent, while also documenting morphology. Combining visual tracking with numerical measurements makes changes in invasive behavior easier to compare across populations or treatments.
A three-dimensional extracellular matrix provides a surrounding structure through which cells move and against which their interactions can be observed. Monitoring movement alongside matrix barriers and cell morphology helps connect physical context with invasion patterns. This is important because cells may display different behaviors while navigating the matrix, producing information that a final two-dimensional position alone would not capture.
The method compares dynamic features such as movement speed, direction, morphology, and invasion extent over time. Two tumor cell populations may reach a similar endpoint yet differ in how consistently, rapidly, or directionally they move. Likewise, treatment may alter behavior during the experiment before the final extent of invasion changes, allowing temporal differences to become measurable.
A basic workflow begins by observing cells within surrounding tissue or a three-dimensional extracellular matrix through time-lapse live-cell imaging. Researchers then follow movement, morphology, and interactions with matrix barriers across successive observations. Fluorescent labeling or automated image analysis can support tracking and quantification, producing measures of speed, direction, and invasion extent for later comparison.
It is particularly useful when the research question concerns metastasis, invasion mechanisms, or responses to anticancer therapies. The approach links cellular dynamics with experimental outcomes, so investigators can examine not only how much invasion occurs but also how behavior changes during the process. This temporal context supports comparisons among tumor populations and assessment of treatment-associated differences.
Time-lapse experiments can provide measurements of invasion speed, movement direction, and the extent of invasion, together with observations of cell morphology and matrix interactions. These outcomes describe both the amount and pattern of movement. Comparing them across tumor populations or treatment conditions can reveal dynamic distinctions and connect cellular behavior with broader cancer research conclusions.