Publication detail

Optimization of data retrieval from fluorescence correlation spectroscopy for microreological experiments

MARKOVÁ, K. PAVLÍKOVÁ, S. PEKAŘ, M.

Original Title

Optimization of data retrieval from fluorescence correlation spectroscopy for microreological experiments

English Title

Optimization of data retrieval from fluorescence correlation spectroscopy for microreological experiments

Type

abstract

Language

en

Original Abstract

This contribution is focused on the optimization of passive microreology using fluorescence correlation microscopy (FCS). This technique is a very accurate analytical tool for the study of soft-matter systems, but there are only few of published articles on FCS usability for microreology. For this reason, some workflow had to be optimized.

English abstract

This contribution is focused on the optimization of passive microreology using fluorescence correlation microscopy (FCS). This technique is a very accurate analytical tool for the study of soft-matter systems, but there are only few of published articles on FCS usability for microreology. For this reason, some workflow had to be optimized.

Keywords

fluorescence correlation microscopy, agarose, nanoparticles, microrheology, mean square displacement, pore size

Released

17.10.2019

Publisher

Tanger Ltd

Location

Ostrava

ISBN

978-80-87294-94-9

Book

NANOCON 2019 - Abstracts

Edition

1st

Pages from

152

Pages to

152

Pages count

1

Documents

BibTex


@misc{BUT162368,
  author="Kateřina {Marková} and Stela {Valovič} and Miloslav {Pekař}",
  title="Optimization of data retrieval from fluorescence correlation spectroscopy for microreological experiments",
  annote="This contribution is focused on the optimization of passive microreology using fluorescence correlation microscopy (FCS). This technique is a very accurate analytical tool for the study of soft-matter systems, but there are only few of published articles on FCS usability for microreology. For this reason, some workflow had to be optimized.",
  address="Tanger Ltd",
  booktitle="NANOCON 2019 - Abstracts",
  chapter="162368",
  edition="1st",
  howpublished="print",
  institution="Tanger Ltd",
  year="2019",
  month="october",
  pages="152",
  publisher="Tanger Ltd",
  type="abstract"
}