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Resolution limit of image analysis algorithms

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Title: Resolution limit of image analysis algorithms
Authors: Cohen, E
Abraham, A
Ramakrishnan, S
Ober, R
Item Type: Journal Article
Abstract: The resolution of an imaging system is a key property that, despite many advances in optical imaging methods, remains difficult to define and apply. Rayleigh’s and Abbe’s resolution criteria were developed for observations with the human eye. However, modern imaging data is typically acquired on highly sensitive cameras and often requires complex image processing algorithms to analyze. Currently, no approaches are available for evaluating the resolving capability of such image processing algorithms that are now central to the analysis of imaging data, particularly location-based imaging data. Using methods of spatial statistics, we develop a novel algorithmic resolution limit to evaluate the resolving capabilities of location-based image processing algorithms. We show how insufficient algorithmic resolution can impact the outcome of location-based image analysis and present an approach to account for algorithmic resolution in the analysis of spatial location patterns.
Issue Date: 15-Feb-2019
Date of Acceptance: 9-Jan-2019
URI: http://hdl.handle.net/10044/1/66988
DOI: 10.1038/s41467-019-08689-x
ISSN: 2041-1723
Publisher: Nature Research (part of Springer Nature)
Journal / Book Title: Nature Communications
Volume: 10
Copyright Statement: © 2019 The Author(s). Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Notes: Under review at Nature Communications
Publication Status: Published
Open Access location: https://www.nature.com/articles/s41467-019-08689-x
Article Number: 793
Online Publication Date: 2019-02-15
Appears in Collections:Statistics
Faculty of Natural Sciences