Multiparametric Analysis
Multiparametric Analysis - Related Videos
09:24
Multiparametric Optical Mapping of the Langendorff-perfused Rabbit Heart
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Cited by 30 •
2011
This article describes the basic procedures for conducting optical mapping experiments in the Langendorff-perfused rabbit heart using the panoramic imaging system, and the dual (voltage and calcium) imaging modality.
10:05
In Vitro Multiparametric Cellular Analysis by Micro Organic Charge-modulated Field-effect Transistor Arrays
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Cited by 2 •
2021
Here, we present the fabrication protocol of an organic charge-modulated field-effect transistor (OCMFET)-based device for in vitro cellular interfacing. The device, called a micro OCMFET array, is a flexible, low-cost, and reference-less device, which will enable the monitoring of the electrical and metabolic activities of electroactive cell cultures.
12:41
Multiparametric Tumor Organoid Drug Screening Using Widefield Live-Cell Imaging for Bulk and Single-Organoid Analysis
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Cited by 14 •
2022
This protocol describes a semi-automated method for medium- to high-throughput organoid drug screenings and microscope-agnostic, automated image analysis software to quantify and visualize multiparametric, single-organoid drug responses to capture intratumor heterogeneity.
06:08
A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
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Cited by 2 •
2025
Prostate biopsy is the gold standard diagnostic method for prostate cancer. Cognitive fusion-guided prostate biopsy, which combines transrectal ultrasound with pre-measured MRI parameters, improves biopsy accuracy and enhances the detection rate of clinically significant prostate cancer.
15:04
A Neuronal and Astrocyte Co-Culture Assay for High Content Analysis of Neurotoxicity
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Cited by 46 •
2009
This article describes a novel protocol and reagent set designed for sensitive measurement of neurotoxic effects of compounds and treatments on co-cultures of neurons and astrocytes using high content analysis. Results demonstrate that high content analysis represents an exciting novel technology for neurotoxicity assessment.
FAQs
The main advantage is that coordinated measurements connect cellular identity with condition and activity. Surface markers can indicate which population is present, while intracellular molecules, viability, or functional responses add information about its state. Because these signals come from the same cells or sample, researchers can interpret relationships among features rather than evaluating isolated measurements.
These measurements provide complementary views of a biological sample. Surface markers help distinguish cellular populations, intracellular molecules describe processes occurring within cells, viability indicates whether cells remain suitable for interpretation, and functional responses show how cells behave. Considering these features together supports a more complete characterization than relying on any single signal.
Coordinated signals can separate cells that respond differently to the same exposure. One population may display a particular surface-marker pattern, intracellular profile, viability state, or functional response, while another shows a different combination. This multidimensional comparison makes heterogeneity visible and helps relate distinct cellular states to host responses during pathogen exposure.
A typical workflow combines several selected signals from the same cells or sample and then interprets them together. The analysis considers cellular identifiers, intracellular features, viability, and functional responses as complementary measurements rather than separate results. This coordinated approach allows populations and states to be distinguished within experimental or clinical material.
It is particularly useful when immune samples contain multiple cellular populations or when pathogen exposure produces varied responses. The method supports detailed immune-cell phenotyping, helps characterize changes across cellular states, and can connect those patterns with disease progression or treatment. Its value increases when a single measurement cannot capture the complexity of the sample.
Integrated profiles can identify combinations of features associated with particular cellular states, disease progression, or treatment responses. In host-pathogen research, linking immune-cell characteristics with functional responses helps clarify how samples respond to exposure. These relationships can strengthen biomarker identification and provide more informative interpretations of experimental and clinical samples.