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  Radial profile detection of multiple spherical particles in contact with interacting surfaces

Waschke, J., Pompe, T., Rettke, D., Schmidt, S., & Hlawitschka, M. (2019). Radial profile detection of multiple spherical particles in contact with interacting surfaces. PLoS One, 14(4): e0214815. doi:10.1371/journal.pone.0214815.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-5B57-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-501D-2
Genre: Journal Article

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 Creators:
Waschke, Johannes1, Author              
Pompe, Tilo 2, Author
Rettke, David 2, Author
Schmidt, Stephan 2, Author
Hlawitschka, Mario 2, Author
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2External Organizations, ou_persistent22              

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 Abstract: Adhesive interactions of soft materials play an important role in nature and technology. Interaction energies can be quantified by determining contact areas of deformable microparticles with the help of reflection interference contrast microscopy (RICM). For high throughput screening of adhesive interactions, a method to automatically evaluate large amounts of interacting microparticles was developed. An image is taken which contains circular interference patterns with visual characteristics that depend on the probe's shape due to its surface interaction. We propose to automatically detect radial profiles in images, and to measure the contact radius and size of the spherical probe, allowing the determination of particle-surface interaction energy in a simple and fast imaging and image analysis setup. To achieve this, we analyze the image gradient and we perform template matching that utilizes the physical foundations of reflection interference contrast microscopy.

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Language(s): eng - English
 Dates: 2018-11-152019-03-202019-04-02
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1371/journal.pone.0214815
PMID: 30939163
Other: eCollection 2019
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Funding organization : International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity (IMPRS NeuroCom)
Project name : Photonics in Life Sciences
Grant ID : 13N13799
Funding program : -
Funding organization : German Federal Ministry for Education and Research (BMBF)

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Title: PLoS One
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 14 (4) Sequence Number: e0214815 Start / End Page: - Identifier: ISSN: 1932-6203
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000277850