Sökning: onr:"swepub:oai:lup.lub.lu.se:03fd1948-042a-4f4e-93a3-ad8bbadd3aa3"
> (2019) >
Automated Image-Bas...
Automated Image-Based Quantification of Neutrophil Extracellular Traps Using NETQUANT
-
- Mohanty, Tirthankar (författare)
- Lund University,Lunds universitet,Infektionsmedicin,Sektion III,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Translationell Sepsisforskning,Forskargrupper vid Lunds universitet,Infection Medicine (BMC),Section III,Department of Clinical Sciences, Lund,Faculty of Medicine,Translational Sepsis research,Lund University Research Groups
-
- Nordenfelt, Pontus (författare)
- Lund University,Lunds universitet,Infektionsmedicin,Sektion III,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Kvantitativ immunbiologi,Forskargrupper vid Lunds universitet,SEBRA Sepsis and Bacterial Resistance Alliance,epIgG,Infection Medicine (BMC),Section III,Department of Clinical Sciences, Lund,Faculty of Medicine,Quantitative immunobiology,Lund University Research Groups
-
(creator_code:org_t)
- 2019-11-27
- 2019
- Engelska.
-
Ingår i: Journal of visualized experiments : JoVE. - : MyJove Corporation. - 1940-087X. ; :153
- Relaterad länk:
-
http://dx.doi.org/10...
-
visa fler...
-
https://lup.lub.lu.s...
-
https://doi.org/10.3...
-
visa färre...
Abstract
Ämnesord
Stäng
- Neutrophil extracellular traps (NETs) are web-like antimicrobial structures consisting of DNA and granule derived antimicrobial proteins. Immunofluorescence microscopy and image-based quantification methods remain important tools to quantitate neutrophil extracellular trap formation. However, there are key limitations to the immunofluorescence-based methods that are currently available for quantifying NETs. Manual methods of image-based NET quantification are often subjective, prone to error and tedious for users, especially non-experienced users. Also, presently available software options for quantification are either semi-automatic or require training prior to operation. Here, we demonstrate the implementation of an automated immunofluorescence-based image quantification method to evaluate NET formation called NETQUANT. The software is easy to use and has a user-friendly graphical user interface (GUI). It considers biologically relevant parameters such as an increase in the surface area and DNA:NET marker protein ratio, and nuclear deformation to define NET formation. Furthermore, this tool is built as a freely available app, and allows for single-cell resolution quantification and analysis.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Cell- och molekylärbiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Cell and Molecular Biology (hsv//eng)
Publikations- och innehållstyp
- art (ämneskategori)
- vet (ämneskategori)
Hitta via bibliotek
Till lärosätets databas