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http://hdl.handle.net/1942/20539
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DC Field | Value | Language |
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dc.contributor.author | PAESEN, Rik | - |
dc.contributor.author | SMOLDERS, Sophie | - |
dc.contributor.author | Manolo de Hoyos Vega, José | - |
dc.contributor.author | OP 'T EIJNDE, Bert | - |
dc.contributor.author | HANSEN, Dominique | - |
dc.contributor.author | AMELOOT, Marcel | - |
dc.date.accessioned | 2016-02-08T08:30:07Z | - |
dc.date.available | 2016-02-08T08:30:07Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | JOURNAL OF BIOMEDICAL OPTICS, 21 (2) | - |
dc.identifier.issn | 1083-3668 | - |
dc.identifier.uri | http://hdl.handle.net/1942/20539 | - |
dc.description.abstract | Although structural changes on the sarcomere level of skeletal muscle are known to occur due to various pathologies, rigorous studies of the reduced sarcomere quality remain scarce. This can possibly be explained by the lack of an objective tool for analyzing and comparing sarcomere images across biological conditions. Recent developments in second harmonic generation (SHG) microscopy and increasing insight into the interpretation of sarcomere SHG intensity profiles have made SHG microscopy a valuable tool to study microstructural properties of sarcomeres. Typically, sarcomere integrity is analyzed by fitting a set of manually selected, one-dimensional SHG intensity profiles with a supramolecular SHG model. To circumvent this tedious manual selection step, we developed a fully automated image analysis procedure to map the sarcomere disorder for the entire image at once. The algorithm relies on a single-frequency wavelet-based Gabor approach and includes a newly developed normalization procedure allowing for unambiguous data interpretation. The method was validated by showing the correlation between the sarcomere disorder, quantified by the M-band size obtained from manually selected profiles, and the normalized Gabor value ranging from 0 to 1 for decreasing disorder. Finally, to elucidate the applicability of our newly developed protocol, Gabor analysis was used to study the effect of experimental autoimmune encephalomyelitis on the sarcomere regularity. We believe that the technique developed in this work holds great promise for high-throughput, unbiased, and automated image analysis to study sarcomere integrity by SHG microscopy. | - |
dc.description.sponsorship | This research is part of the Interreg EMR IV-A project BioMiMedics (www.biomimedics.org) and is co-financed by the European Union, local governments, research institutes, and SMEs. Support by the BELSPO funded IAP-PAI network P7/05 on Functional Supramolecular Systems (FS2) is acknowledged. The Province of Limburg (Belgium) is acknowledged for the financial support within the tUL IMPULS FASE II program, allowing for the upgrading of the laser source used in this work. | - |
dc.language.iso | en | - |
dc.rights | © 2016 SPIE | - |
dc.subject.other | striated muscle; second harmonic generation; screening; supramolecular model | - |
dc.title | Fully automated muscle quality assessment by Gabor filtering of second harmonic generation images | - |
dc.type | Journal Contribution | - |
dc.identifier.issue | 2 | - |
dc.identifier.volume | 21 | - |
local.format.pages | 9 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Marcel Ameloot, Hasselt Univ, Biomed Res Inst, Agoralaan Bldg C, B-3590 Diepenbeek, Belgium. marcel.ameloot@uhasselt.be | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1117/1. JBO.21.2.026003 | - |
dc.identifier.isi | 000371735000014 | - |
item.validation | ecoom 2017 | - |
item.contributor | PAESEN, Rik | - |
item.contributor | SMOLDERS, Sophie | - |
item.contributor | Manolo de Hoyos Vega, José | - |
item.contributor | OP 'T EIJNDE, Bert | - |
item.contributor | HANSEN, Dominique | - |
item.contributor | AMELOOT, Marcel | - |
item.accessRights | Restricted Access | - |
item.fullcitation | PAESEN, Rik; SMOLDERS, Sophie; Manolo de Hoyos Vega, José; OP 'T EIJNDE, Bert; HANSEN, Dominique & AMELOOT, Marcel (2016) Fully automated muscle quality assessment by Gabor filtering of second harmonic generation images. In: JOURNAL OF BIOMEDICAL OPTICS, 21 (2). | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 1083-3668 | - |
crisitem.journal.eissn | 1560-2281 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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Paesen et al. J Biom Opt 2016.pdf Restricted Access | Published version | 1.13 MB | Adobe PDF | View/Open Request a copy |
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