KCBC – a correlation-based method for co-localization analysis of super-resolution microscopy images using bivariate Ripley's <i>K</i> functions-Reference-Cited by-同舟云学术

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KCBC – a correlation-based method for co-localization analysis of super-resolution microscopy images using bivariate Ripley's K functions

Published:2024-04-29 Issue: Volume: Page:1-17
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Liu Xueyan¹,Komladzei Stephan²,Guy Clifford³

Affiliation:

1. Department of Mathematics, University of New Orleans, New Orleans, LA, USA

2. Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, USA

3. Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2024.2346828

Reference57 articles.

1. Image co-localization – co-occurrence versus correlation;Aaron J.S.;J. Cell. Sci.,2018

2. Application of bivariate Ripley's K-function for studying competition and spatial association of trees (Case study: intact Oriental beech stands in Kelardasht);Akhavan R.;Iran. J. For. Poplar Res.,2012

3. Spatial Point Patterns

4. Contribution to the discussion on Dr Ripley's paper;Besag J.E.;J. R. Stat. Soc. Ser. B.,1977

5. Imaging Intracellular Fluorescent Proteins at Nanometer Resolution

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