Get started
Work

Removal of subsurface fluorescence in cryo-imaging using deconvolution

Year: 2010
Type: article
Abstract: We compared image restoration methods [Richardson-Lucy (RL), Wiener, and Next-image] with measured "scatter" point-spread-functions, for removing subsurface fluorescence from section-and-image cryo-image volumes. All methods removed haze, delineated single cells from clusters, and improved visualization, but RL best represented structures. Contrast-to-noise and contrast-to-background improvement from RL and Wiener were comparable and 35% better than Next-image. Concerning detection of labeled cells, ROC analyses showed RL ≈Wiener > Next-image >> no processing. Next-image was faster than other methods and less prone to image processing artifacts. RL is recommended for the best restoration of the shape and size of fluorescent structures.
DOI: 10.1364/oe.18.022324
Language: English
Subfield: Biophysics
Open Access status: gold
Estimated APC paid: $2,270
Funders: National Institutes of Health, National Cancer Institute, National Institute of General Medical Sciences, National Institute of Biomedical Imaging and Bioengineering, National Center for Research Resources, National Center for Advancing Translational Sciences
Awards: BIOMEDICAL ENGINEERING RESEARCH FACILITIES, Medical Scientist Training Program, Cryo-Imaging of Fluorescently Tagged Cells in the Mouse, Northeastern Ohio Animal Imaging Resource Center- NOAIRC, Whole Mouse Cryo-Imaging, Clinical and Translational Science Collaborative of Cleveland, Interdisciplinary Biomedical Imaging Training Program, G942918344
OpenAlex ID: W2044658066
FWCI: 0.966
Cites: 22
Cited by: 22
Related to: 10