Ecis Applied Biophysics Software
Ecis Applied Biophysics Software - Related Videos
11:37
Measurement of Cellular Chemotaxis with ECIS/Taxis
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Cited by 12 •
2012
The ECIS/Taxis system is an automated, real-time assay that measures cellular chemotaxis. In this assay, cells move beneath a layer of agarose to arrive at a target electrode. Cellular movement is measured by the onset of resistance to AC current 0.
11:43
Concentric Gel System to Study the Biophysical Role of Matrix Microenvironment on 3D Cell Migration
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Cited by 7 •
2015
The mechanical properties and microstructure of the extracellular matrix strongly affect 3D migration of cells. An in vitro method to study the spatiotemporal cell migration behavior in biophysically variable environments, at both population and individual cell levels, is described.
15:53
Isolation and Biophysical Study of Fruit Cuticles
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Cited by 16 •
2012
Aerial plant organs are protected by the cuticle, a supramolecular biopolyester-wax assembly. We present protocols to monitor selective removal of epi- and intracuticular waxes from tomato fruit cuticles on molecular and micro scales by solid-state NMR and atomic force microscopy, respectively, and to assess the cross-linking capacity of engineered cuticular biopolyesters.
05:41
Applying Microfluidics to Electrophysiology
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Cited by 1 •
2007
Microfluidics can be integrated with standard electrophysiology techniques to allow new experimental modalities. Specifically, the motivation for the ...
12:23
Recombinant Protein Expression, Crystallization, and Biophysical Studies of a Bacillus-conserved Nucleotide Pyrophosphorylase, BcMazG
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2017
Bacillus anthracis is the obligate pathogen of fatal inhalational anthrax, so studies of its genes and proteins are strictly regulated. An alternative approach is to study orthologous genes. We describe biophysicochemical studies of a B. anthracis ortholog in B. cereus, bc1531, requiring minimal experimental equipment and lacking serious safety concerns.
FAQs
Resistance and capacitance provide complementary electrical signals that change as cells attach, spread, form barriers, migrate, or proliferate on electrodes. ECIS Applied Biophysics Software organizes these measurements so researchers can relate signal patterns to cellular dynamics over time. This helps convert electrical recordings into quantitative observations of cell behavior rather than relying only on visual inspection.
The software preserves the time course of a cellular response, allowing researchers to follow when changes begin, how they develop, and whether they persist. This continuous perspective can distinguish transient responses from sustained effects and can complement microscopy or endpoint assays. Such temporal information is especially useful when treatment effects or cellular recovery evolve during an experiment.
Controlled conditions help researchers associate changes in electrical measurements with the cellular process or treatment being studied. By monitoring responses under defined experimental settings, investigators can compare attachment, barrier formation, migration, or proliferation across conditions. The resulting time-dependent data provide a more consistent basis for evaluating cellular responses than isolated measurements collected at a single endpoint.
A typical workflow begins with cells growing on small electrodes, followed by recording their electrical response with the instrument and managing that acquisition through the software. Researchers then visualize the time-dependent measurements and quantify changes in resistance or capacitance. This sequence supports evaluation of attachment, spreading, barrier development, migration, proliferation, or treatment responses within the same experiment.
The platform supports studies that benefit from continuous, noninvasive monitoring of cellular dynamics. Applications identified for ECIS include cell growth, wound healing, endothelial barrier function, and toxicology. Researchers can use the recorded electrical responses to assess how cells change over time and how experimental treatments influence these processes under controlled conditions.
Within biological techniques, the software adds quantitative electrical monitoring to visual and endpoint-based approaches. Its measurements can track cellular behavior continuously while cells remain in the experimental system, providing information about attachment, spreading, barrier formation, migration, and proliferation. This complementary perspective helps researchers connect observed cellular outcomes with their timing and treatment conditions.