Robust nonparametric quantification of clustering density of molecules in single-molecule localization microscopy.
We report a robust nonparametric descriptor, J'(r), for quantifying the density of clustering molecules in single-molecule localization microscopy. J'(r), based on nearest neighbor distribution functions, does not require any parameter as an input for analyzing point patterns. We show that...
Main Authors: | Shenghang Jiang, Seongjin Park, Sai Divya Challapalli, Jingyi Fei, Yong Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2017-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC5479598?pdf=render |
Similar Items
-
A Review of Super-Resolution Single-Molecule Localization Microscopy Cluster Analysis and Quantification Methods
by: Ismail M. Khater, et al.
Published: (2020-06-01) -
Application of Lacunarity for Quantification of Single Molecule Localization Microscopy Images
by: Bálint Barna H. Kovács, et al.
Published: (2022-10-01) -
Introducing Diinamic, a flexible and robust method for clustering analysis in single-molecule localization microscopy
by: Anne-Lise Paupiah, et al.
Published: (2023-01-01) -
FACAM: A Fast and Accurate Clustering Analysis Method for Protein Complex Quantification in Single Molecule Localization Microscopy
by: Cheng Wu, et al.
Published: (2023-04-01) -
Unbiased choice of global clustering parameters for single-molecule localization microscopy
by: Pietro Verzelli, et al.
Published: (2022-12-01)