The University of Southampton
University of Southampton Institutional Repository

FLOPTICS: A novel automated gating technique for flow cytometry data

FLOPTICS: A novel automated gating technique for flow cytometry data
FLOPTICS: A novel automated gating technique for flow cytometry data
Gating is a process of cell differentiation of the data obtaining from flow cytometry technique. Flow cytometry (FCM) is a fluorescence concept technique that provide characteristics of individual cells in blood sample. A multidimensional dataset obtained from this method is large and complex so it is difficult to manually analysis and time consuming. Gating is the first step of FCM data analysis and highly subjective. Although many research attempted to reduce this subjectivity, more standard and faster gating technique is still needed. Some existing automated gating technique need many user-defined parameters that can lead to different results for different parameter values. Some techniques have a trouble with time consuming. FLOPTICS is a novel automated gating technique that is a combination of density-based and grid-based clustering algorithms. FLOPTICS has an ability to classify cell on FCM data faster and less user-defined parameter than some of state of art technique such as FlowGrid, FlowPeaks, and FLOCK.
flow cytometry, automated gating, density based clustering, optics clustering
96-102
Sriphum, Wiwat
f9598d20-372e-48f4-9e41-99c23478141c
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
Green, Nicolas
d9b47269-c426-41fd-a41d-5f4579faa581
Sriphum, Wiwat
f9598d20-372e-48f4-9e41-99c23478141c
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
Green, Nicolas
d9b47269-c426-41fd-a41d-5f4579faa581

Sriphum, Wiwat, Wills, Gary and Green, Nicolas (2020) FLOPTICS: A novel automated gating technique for flow cytometry data. 5th International Conference on Complexity, Future Information Systems and Risk, Vienna House Diplomat Prague Evropska 15 16041 Prague, Czech Republic, Czech Republic. 08 - 09 May 2020. pp. 96-102 .

Record type: Conference or Workshop Item (Paper)

Abstract

Gating is a process of cell differentiation of the data obtaining from flow cytometry technique. Flow cytometry (FCM) is a fluorescence concept technique that provide characteristics of individual cells in blood sample. A multidimensional dataset obtained from this method is large and complex so it is difficult to manually analysis and time consuming. Gating is the first step of FCM data analysis and highly subjective. Although many research attempted to reduce this subjectivity, more standard and faster gating technique is still needed. Some existing automated gating technique need many user-defined parameters that can lead to different results for different parameter values. Some techniques have a trouble with time consuming. FLOPTICS is a novel automated gating technique that is a combination of density-based and grid-based clustering algorithms. FLOPTICS has an ability to classify cell on FCM data faster and less user-defined parameter than some of state of art technique such as FlowGrid, FlowPeaks, and FLOCK.

Text
ws5n17_COMPLEXIS_2020 - Author's Original
Download (671kB)

More information

Submitted date: 7 January 2020
Published date: 8 May 2020
Venue - Dates: 5th International Conference on Complexity, Future Information Systems and Risk, Vienna House Diplomat Prague Evropska 15 16041 Prague, Czech Republic, Czech Republic, 2020-05-08 - 2020-05-09
Keywords: flow cytometry, automated gating, density based clustering, optics clustering

Identifiers

Local EPrints ID: 440966
URI: http://eprints.soton.ac.uk/id/eprint/440966
PURE UUID: 79b71b71-1d68-4808-9734-ce576f0d2137
ORCID for Gary Wills: ORCID iD orcid.org/0000-0001-5771-4088
ORCID for Nicolas Green: ORCID iD orcid.org/0000-0001-9230-4455

Catalogue record

Date deposited: 26 May 2020 16:31
Last modified: 27 May 2020 00:29

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×