Fluidigm Dynamic Array
Fluidigm Dynamic Array - Related Videos
07:27
High Throughput MicroRNA Profiling: Optimized Multiplex qRT-PCR at Nanoliter Scale on the Fluidigm Dynamic ArrayTM IFCs
0 Views •
Cited by 13 •
2011
Here we describe an optimized multiplex reverse transcriptase quantitative PCR (qRT-PCR) protocol in combination with a microfluidic platform as a cost and time effective high-throughput screening tool for microRNA (miRNA) expression levels, especially when working with limited amounts of sample.
16:01
Multi-electrode Array Recordings of Neuronal Avalanches in Organotypic Cultures
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Cited by 28 •
2011
A robust way to study neuronal avalanches, i.e. scale-invariant spatio-temporal activity bursts, indicative of critical state dynamics in cortex. Avalanches emerge spontaneously in developing superficial layers of cultured cortex which allows for long-term measurements of the activity with planar integrated multi-electrode arrays (MEA) under precisely controlled conditions.
09:16
Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants
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Cited by 7 •
2015
Array CGH for the detection of genomic copy number variants has replaced G-banded karyotype analysis. This paper describes the technology and its application in a diagnostic service laboratory.
19:40
Design and Use of Multiplexed Chemostat Arrays
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Cited by 108 •
2013
We developed and validated a small-footprint array of miniature chemostats built from readily available parts for low cost. Physiological and experimental evolution results were similar to larger volume chemostats. The ministat array provides a compact, inexpensive, and accessible platform for traditional chemostat experiments, functional genomics, and chemical screening applications.
09:27
DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning
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Cited by 10 •
2011
We demonstrate the use of DNA microarrays for expression profiling of the nervous system. We describe RNA quality control, sample labeling, and array hybridization and scanning.
FAQs
Elastomeric valves regulate the movement of nanoliter-scale samples and reagents through the integrated fluidic circuit. A programmed assay layout determines which inputs are routed into each reaction chamber, allowing many selected sample-assay combinations to be processed in parallel. This controlled routing supports consistent reaction setup while limiting manual pipetting and reagent use.
Working with nanoliter-scale volumes reduces the amount of sample and reagent required for each reaction. That efficiency is especially valuable when engineered-cell samples or other biological materials are limited. By accommodating many reactions with smaller volumes, the platform helps researchers increase experimental coverage without proportionally increasing material consumption.
The assay layout specifies how selected samples and reagents are paired across the reaction chambers. Because the layout controls these combinations, researchers can organize parallel measurements of different biological conditions within one experimental setup. This supports systematic comparisons and helps maintain measurement consistency across the many reactions performed on the array.
A typical workflow begins by selecting the samples and assays, then defining their intended combinations in a programmed layout. The platform routes those inputs through elastomeric valves into individual reaction chambers, where the miniaturized reactions are performed. The resulting measurements can then be used for parallel molecular analysis across the planned sample and assay set.
The platform supports quantitative PCR, gene-expression profiling, genotyping, and biomarker analysis. These applications allow researchers to examine molecular measurements across many samples or assays in parallel rather than relying on separate manual setups. The appropriate analysis depends on the biological question, such as measuring expression changes, identifying genotype differences, or assessing biomarker patterns.
In bioengineering, Dynamic Arrays can help characterize engineered cells by measuring molecular responses under different biological conditions. Researchers can compare gene-expression or other assay results across samples while conserving limited material. The resulting parallel measurements support evaluation of engineered-cell behavior and help relate molecular changes to the conditions being investigated.