Our new approach reduces error by 100,000-fold, making research and diagnostics more accurate. Despite the technical progress over the past decades, the technology has been held back by the mathematical processing of the data. Adrian Liston, explained: "Flow cytometry is a foundational technology across many different biomedical research areas, and is a key diagnostic tool in immunology, haematology and oncology. Immunology programme senior group leader Prof. The new technique is published in Nature Communications today. AutoSpill, an algorithm developed by researchers at the Babraham Institute and the VIB Center for Brain Research, brings data processing in line with state-of-the-art machines, simplifying data analysis and increasing accuracy. However, while flow cytometry equipment has been updated, the accompanying computational requirements have received less attention, until now. Advances in flow cytometry have allowed scientists to gather data on a growing number of parameters, simultaneously detecting over 30 different tags at a time to allow more sophisticated analyses and much deeper levels of insight. As with personal gadgets and devices, innovation in molecular biology technologies isn’t standing still. Cell identification is achieved by labelling cells with fluorescent tags.
#COMPENSATION IN FLOWJO SOFTWARE#
Researchers can use the tool, available online and through the software package FlowJo, to easily reduce compensation errors in their flow cytometry data.įlow cytometry is a key investigative tool used in biomedical research, allowing researchers to identify, separate and study cells according to their characteristics, often working with cell samples containing millions of cells at an analysis pace of a million cells per minute.The tool, called AutoSpill, addresses the problem of overlapping signals and autofluoresence, which can be misinterpreted as genuine results.
#COMPENSATION IN FLOWJO FULL#
#COMPENSATION IN FLOWJO LICENSE#
Cy dyes are subject to proprietary rights of GE Healthcare and Carnegie Mellon University and are made and sold under license from GE Healthcare only for research and in vitro diagnostic use. Microsoft and Excel are trademarks of Microsoft Corporation. Google Scholar is a trademark of Google LLC. Dell and OptiPlex are trademarks of Dell Inc. Data were generated on either the BD Accuri C6 Plus or the BD Accuri C6 System as indicated in figure legends.īD Accuri C6 System (32-bit) Software is not forward compatible with BD Accuri C6 Plus (64-bit) Software and the FCS 3.1 file format.Īlexa Fluor and SYBR are trademarks of Thermo Fisher Scientific. Platforms referred to as "BD Accuri" represent both the BD Accuri C6 Plus and BD Accuri C6. Not for use in diagnostic or therapeutic procedures.Īll reagents and kits are compatible with both the BD Accuri C6 Plus and BD Accuri C6 Flow Cytometer Systems.
0 kommentar(er)
