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ELM: super-resolution analysis of wide-field images of fluorescent shell structures.

Published version
Peer-reviewed

Type

Article

Change log

Authors

Manton, James D 
Xiao, Yao 
Turner, Robert D 
Rees, Eric J 

Abstract

It is often necessary to precisely quantify the size of specimens in biological studies. When measuring feature size in fluorescence microscopy, significant biases can arise due to blurring of its edges if the feature is smaller than the diffraction limit of resolution. This problem is avoided if an equation describing the feature's entire image is fitted to its image data. In this paper we present open-source software, ELM, which uses this approach to measure the size of spheroidal or cylindrical fluorescent shells with a precision of around 10 nm. This has been used to measure coat protein locations in bacterial spores and cell wall diameter in vegetative bacilli, and may also be valuable in microbiological studies of algae, fungi and viruses. ELM is available for download at https://github.com/quantitativeimaging/ELM.

Description

Keywords

fluorescence, microscopy, image analysis

Journal Title

Methods Appl Fluoresc

Conference Name

Journal ISSN

2050-6120
2050-6120

Volume Title

6

Publisher

IOP Publishing
Sponsorship
EPSRC (1503810)
Engineering and Physical Sciences Research Council (EP/L015889/1)