Particle-based Segmentation of Extended Objects on Curved Biological Membranes.

First Authors Anastasia Solomatina
Authors Anastasia Solomatina, Yannis Kalaidzidis, Alice Cezanne, Karen Soans, Caren Norden, Marino Zerial, Ivo F. Sbalzarini
Corresponding Authors Ivo F. Sbalzarini
Last Authors Ivo F. Sbalzarini
Conference Proceedings Volume Title ISBI 2021, IEEE International Symposium on Biomedical Imaging (ISBI)
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Conference Name 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
Conference Location Nice, France
Conference Start Date 2021-04-13
Conference End Date 2021-04-16
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Publisher IEEE
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First Page 1150
Last Page 1154
Open Access false
Print Publication Date 2021-05-25
Online Publication Date 2021-05-25
Abstract We present a novel method for model-based segmentation of extended, blob-like objects on curved surfaces. Our method addresses several challenges arising when imaging curved biological membrane, such as out-of-membrane signal and geometry-induced background variations. We use a particle-based reconstruction of the membrane geometry, moment-conserving intensity interpolation from pixels to surface particles, and model-based in-surface segmentation. Our method denoises and deconvolves images, corrects for background variations, and quantifies the number, size, and intensity of segmented objects. We benchmark the accuracy of the method and present two applications to (1) neuroepithelial focal adhesion sites during optic cup morphogenesis in zebrafish and (2) reconstituted membrane domains bearing the small GTPase Rab5 on spherical beads.
PDF Solomatina_2021_8040.pdf (3.4 MB)
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Affiliated With CSBD, Sbalzarini, Zerial, Norden
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DOI 10.1109/ISBI48211.2021.9434038
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WebOfScience Link WOS:000786144100241
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Created By sbalzari
Added Date 2021-05-06
Last Edited By thuem
Last Edited Date 2022-05-24 11:35:29.748
Library ID 8040
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