Confocal microscopy of colloidal particles: towards reliable, optimum coordinates

TL;DR

This paper reviews and extends methods for optimal confocal microscopy imaging of colloidal particles, emphasizing accuracy in particle coordinate extraction, introducing a new error estimate, and proposing an iterative localization method adaptable to various feature extraction challenges.

Contribution

It introduces a novel error estimation technique and an iterative method for precise particle localization in confocal microscopy, enhancing accuracy and reliability.

Findings

Introduced a new error estimate for particle coordinate accuracy.

Developed an iterative method for improved particle localization.

Demonstrated applicability to dense and overlapping feature scenarios.

Abstract

Over the last decade, the light microscope has become increasingly useful as a quantitative tool for studying colloidal systems. The ability to obtain particle coordinates in bulk samples from micrographs is particularly appealing. In this paper we review and extend methods for optimal image formation of colloidal samples, which is vital for particle coordinates of the highest accuracy, and for extracting the most reliable coordinates from these images. We discuss in depth the accuracy of the coordinates, which is sensitive to the details of the colloidal system and the imaging system. Moreover, this accuracy can vary between particles, particularly in dense systems. We introduce a previously unreported error estimate and use it to develop an iterative method for finding particle coordinates. This individual-particle accuracy assessment also allows comparison between particle locations obtained from different experiments. Though aimed primarily at confocal microscopy studies of colloidal systems, the methods outlined here should transfer readily to many other feature extraction problems, especially where features may overlap one another.