Bio-plex 200 System
Bio-plex 200 System - Related Videos
05:25
Patterning of Embryonic Stem Cells Using the Bio Flip Chip
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Cited by 2 •
2007
We demonstrate a simple method for placing cells at desired locations on a substrate. This method patterns cells by flipping a silicone chip containing microwells filled with cells onto the substrate. This method provides a new way to modulate diffusible and juxtacrine signaling between cells.
16:38
Bridging the Bio-Electronic Interface with Biofabrication
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Cited by 3 •
2012
This article describes a biofabrication approach: deposition of stimuli-responsive polysaccharides in the presence of biased electrodes to create biocompatible films which can be functionalized with cells or proteins. We demonstrate a bench-top strategy for the generation of the films as well as their basic uses for creating interactive biofunctionalized surfaces for lab-on-a-chip applications.
10:28
High-plex Imaging using Spectral Confocal Microscopy to Minimize Non-specific Tissue Fluorescence
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2025
Spectral Iterative Bleaching Extends Multiplexity (IBEX) builds upon the base IBEX technique by adding heparin blocking to minimize nonspecific binding and leveraging spectral detection with computational unmixing to suppress autofluorescence. This approach accelerates image acquisition while reducing sources of background, enabling robust multi-round, high-parameter spatial proteomic analyses.
07:56
Determination of Carbonyl Functional Groups in Bio-oils by Potentiometric Titration: The Faix Method
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Cited by 5 •
2017
Here we present a potentiometric titration technique for accurately quantifying carbonyl compounds in pyrolysis bio-oils.
06:15
Concentration Determination of Nucleic Acids and Proteins Using the Micro-volume Bio-spec Nano Spectrophotometer
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Cited by 19 •
2011
This communication presents data on the accuracy and reproducibility of the BioSpec-nano UV-VIS spectrophotometer for dsDNA and protein quantitation. Even with ultra-small volumes (1 to 2 L), reproducibility is excellent, while the automated wiping function improves throughput and results in minimal carryover for more precise results.
FAQs
Each microsphere population carries a distinct fluorescent identity and is coupled to a capture molecule, such as an antibody. When a sample is introduced, targets bind selectively to the appropriate bead population. Flow-based analysis then separates bead identities from reporter signals, allowing several analytes to be recognized within the same measurement rather than treated as one undifferentiated signal.
Capture antibodies provide target selectivity by binding particular proteins to their corresponding microspheres. After this initial binding step, detection antibodies recognize the captured targets and support generation of fluorescent reporter signals. Using these two antibody functions together links each signal to a specific analyte, enabling the system to distinguish and quantify cytokines, chemokines, growth factors, and other measured biomarkers.
Multiplexing allows many biological analytes to be measured from a shared sample instead of allocating separate portions to individual assays. This can improve experimental efficiency and preserve limited material for broader profiling. In medical research, simultaneous measurements also make it possible to examine relationships among biomarkers, which may provide more informative molecular context than evaluating each marker independently.
The workflow begins with color-coded microspheres carrying analyte-specific capture molecules. Targets in the sample bind to the appropriate beads, and detection antibodies are then used to generate fluorescent reporter signals. Flow-based analysis reads bead identity together with the associated fluorescence, producing measurements for multiple analytes in a single sample and supporting subsequent biomarker profile analysis.
The platform can support studies of cytokines, chemokines, growth factors, and other biomarkers relevant to immunology and inflammation. Its multiplex measurements also contribute to disease characterization and therapeutic research. By examining several molecular signals together, investigators can develop broader profiles of biological responses and assess how clinically relevant biomarkers vary as part of a shared experimental context.
A combined profile can reveal patterns across multiple clinically relevant biomarkers rather than focusing on a single measurement. In disease characterization, those patterns may help describe molecular features associated with inflammatory or immune processes. In therapeutic research, the same approach can support evaluation of biomarker responses across a broader panel, while conserving sample volume and improving measurement efficiency.