Quantitative fibre analysis of single-molecule localization microscopy data

Ruby Peters*, Juliette Griffié, Garth L. Burn, David J. Williamson, Dylan M. Owen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)
105 Downloads (Pure)

Abstract

Single molecule localization microscopy (SMLM) methods produce data in the form of a spatial point pattern (SPP) of all localized emitters. Whilst numerous tools exist to quantify molecular clustering in SPP data, the analysis of fibrous structures has remained understudied. Taking the SMLM localization coordinates as input, we present an algorithm capable of tracing fibrous structures in data generated by SMLM. Based upon a density parameter tracing routine, the algorithm outputs several fibre descriptors, such as number of fibres, length of fibres, area of enclosed regions and locations and angles of fibre branch points. The method is validated in a variety of simulated conditions and experimental data acquired using the image reconstruction by integrating exchangeable single-molecule localization (IRIS) technique. For this, the nanoscale architecture of F-actin at the T cell immunological synapse in both untreated and pharmacologically treated cells, designed to perturb actin structure, was analysed.

Original languageEnglish
Article number10418
JournalScientific Reports
Volume8
Issue number1
Early online date10 Jul 2018
DOIs
Publication statusPublished - 1 Dec 2018

Fingerprint

Dive into the research topics of 'Quantitative fibre analysis of single-molecule localization microscopy data'. Together they form a unique fingerprint.

Cite this