Copas Sorter
Copas Sorter - Related Videos
07:37
Sorting of Streptomyces Cell Pellets Using a Complex Object Parametric Analyzer and Sorter
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Cited by 12 •
2014
Liquid-grown Streptomyces cultures are characterized by mycelial pellets that are heterogeneous in size. We here describe a method to analyze and sort such pellets in a high-throughput manner. These pellets can be used for further analyses, which will provide leads to understand and control growth heterogeneity.
10:58
Quantitative and Automated High-throughput Genome-wide RNAi Screens in C. elegans
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Cited by 25 •
2012
We describe a protocol using C. elegans and RNAi feeding libraries that allows automated measurement of multiple parameters such as fluorescence, size and opacity of individual worms in a population. We give one example of a screen to identify genes involved in anti-fungal innate immunity in C. elegans.
13:58
Peptide:MHC Tetramer-based Enrichment of Epitope-specific T cells
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Cited by 28 •
2012
This protocol describes the use of peptide:MHC tetramers and magnetic microbeads to isolate low frequency populations of epitope-specific T cells and analyze them by flow cytometry. This method enables the direct study of endogenous T cell populations of interest from in vivo experimental systems.
05:31
Micro-dissection of Rat Brain for RNA or Protein Extraction from Specific Brain Region
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Cited by 171 •
2007
Micro-dissection of rat brain into various regions is extremely important for the study of different neurodegenerative diseases. This video demonstrates micro-dissection of four major brain regions include olfactory bulb, frontal cortex, striatum and hippocampus in fresh rat brain tissue. Useful tips for quick removal of respective regions to avoid RNA and protein degradation of the tissue are given.
12:59
BEST: Barcode Enabled Sequencing of Tetrads
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Cited by 4 •
2014
Barcode Enabled Sequencing of Tetrads (BEST) replaces the manual processes of isolating, disrupting and spacing tetrads. BEST isolates tetrads by fluorescence-activated cell sorting onto agar plates, separates the spores by agitation with glass beads, and determines which randomly arrayed colonies were derived from the same original tetrad using molecular barcodes.
FAQs
The instrument converts each object’s passage through the laser interrogation zone into measurable signals, including time of flight, optical density, and fluorescence. These signals provide criteria for distinguishing objects with different physical or biological characteristics. Researchers can then define gates around the signal patterns of interest, allowing selection to reflect measured properties rather than manual visual judgment.
User-defined gates translate experimental criteria into sorting decisions. A gate specifies which combination or range of recorded signals qualifies an object for collection, while objects outside that selection can be excluded. This makes the separation strategy adjustable for different biological populations and helps link the collected material directly to a measurable optical phenotype.
Analysis alone reveals differences among objects, whereas automated isolation makes those differences experimentally actionable. The Copas Sorter can identify a selected population and direct it into collection vessels during the same workflow. This connection supports downstream comparisons of distinct groups while reducing the manual handling that can introduce inconsistency between samples.
A typical workflow moves biological specimens in sheath fluid through the laser interrogation zone, records their optical signals, and applies user-defined gates to classify them. Objects meeting the selected criteria are directed into collection vessels. The sequence therefore links fluid-based transport, optical measurement, computational selection, and physical recovery in one automated process.
The system supports studies that require separation of genetically or phenotypically distinct biological populations. Reported applications include developmental studies with embryos or organoids, screening experiments, cell-line selection, and quantitative research. Its ability to process large biological objects expands automated sorting beyond workflows focused only on small individual cells.
Automated measurement and collection apply the same user-defined selection logic across a series of specimens, supporting more consistent treatment of samples. High-throughput operation also reduces dependence on repeated manual inspection and transfer. These features are valuable when experiments compare many populations or require systematic recovery of objects with selected optical characteristics.