2007/08/08 by Matthew C. Jenkins, Stefan U. Egelhaaf · 1 citation
Biochemistry, Genetics and Molecular Biology · Chemistry · Engineering · Environmental Science · Physics and Astronomy · #Advanced Fluorescence Microscopy Techniques #Biological system #Chemistry #Colloid #Colloidal particle #Computer science #Feature (linguistics) #Geology #Materials science #Microscope #Microscopy #Optics #Particle (ecology) #Photoacoustic and Ultrasonic Imaging #Physics #Soil Geostatistics and Mapping #cond-mat.soft
paper · pdf · doi:10.1016/j.cis.2007.07.006
Accepted by Advances in Colloid and Interface Science
openalex publication_date 2007/08/08 · arxiv created 2007/09/26 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
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.