Adaptive-resolution multi-orientation analysis of complex filamentous network images

Mark Kittisopikul; Amir Vahabikashi; Takeshi Shimi; Robert D. Goldman; Khuloud Jaqaman

doi:10.1101/757005

Adaptive-resolution multi-orientation analysis of complex filamentous network images

Mark Kittisopikul, Amir Vahabikashi, Takeshi Shimi, Robert D. Goldman, Khuloud Jaqaman

Research output: Contribution to journal › Article › peer-review

Abstract

Microscopy images of cytoskeletal, nucleoskeletal, and other filamentous structures contain complex junctions where multiple filaments with distinct orientations overlap, yet state-of-the-art software generally uses single orientation analysis to segment these structures. We describe an image analysis approach to simultaneously segment both filamentous structures and their intersections in microscopy images, based on analytically resolving coincident multiple orientations upon image filtering in a manner that balances orientation resolution and spatial localization.

Original language	English (US)
Journal	Unknown Journal
DOIs	https://doi.org/10.1101/757005
State	Published - Sep 6 2019

ASJC Scopus subject areas

Biochemistry, Genetics and Molecular Biology(all)
Agricultural and Biological Sciences(all)
Immunology and Microbiology(all)
Neuroscience(all)
Pharmacology, Toxicology and Pharmaceutics(all)

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10.1101/757005

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title = "Adaptive-resolution multi-orientation analysis of complex filamentous network images",

abstract = "Microscopy images of cytoskeletal, nucleoskeletal, and other filamentous structures contain complex junctions where multiple filaments with distinct orientations overlap, yet state-of-the-art software generally uses single orientation analysis to segment these structures. We describe an image analysis approach to simultaneously segment both filamentous structures and their intersections in microscopy images, based on analytically resolving coincident multiple orientations upon image filtering in a manner that balances orientation resolution and spatial localization.",

author = "Mark Kittisopikul and Amir Vahabikashi and Takeshi Shimi and Goldman, {Robert D.} and Khuloud Jaqaman",

note = "Publisher Copyright: The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",

year = "2019",

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doi = "10.1101/757005",

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AU - Vahabikashi, Amir

AU - Shimi, Takeshi

AU - Goldman, Robert D.

AU - Jaqaman, Khuloud

N1 - Publisher Copyright: The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2019/9/6

Y1 - 2019/9/6

N2 - Microscopy images of cytoskeletal, nucleoskeletal, and other filamentous structures contain complex junctions where multiple filaments with distinct orientations overlap, yet state-of-the-art software generally uses single orientation analysis to segment these structures. We describe an image analysis approach to simultaneously segment both filamentous structures and their intersections in microscopy images, based on analytically resolving coincident multiple orientations upon image filtering in a manner that balances orientation resolution and spatial localization.

AB - Microscopy images of cytoskeletal, nucleoskeletal, and other filamentous structures contain complex junctions where multiple filaments with distinct orientations overlap, yet state-of-the-art software generally uses single orientation analysis to segment these structures. We describe an image analysis approach to simultaneously segment both filamentous structures and their intersections in microscopy images, based on analytically resolving coincident multiple orientations upon image filtering in a manner that balances orientation resolution and spatial localization.

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