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Decoding rejuvenating effects of mechanical loading on skeletal aging using in vivo μCT imaging and deep learning.
Acta Biomater. 2020 Apr 1;106:193-207. doi: 10.1016/j.actbio.2020.02.007. Epub 2020 Feb 11.
Acta Biomater. 2020.
PMID: 32058080
Computational 3D imaging to quantify structural components and assembly of protein networks.
Asgharzadeh P, Özdemir B, Reski R, Röhrle O, Birkhold AI.
Asgharzadeh P, et al.
Acta Biomater. 2018 Mar 15;69:206-217. doi: 10.1016/j.actbio.2018.01.020. Epub 2018 Jan 31.
Acta Biomater. 2018.
PMID: 29378323
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A NanoFE simulation-based surrogate machine learning model to predict mechanical functionality of protein networks from live confocal imaging.
Asgharzadeh P, Birkhold AI, Trivedi Z, Özdemir B, Reski R, Röhrle O.
Asgharzadeh P, et al.
Comput Struct Biotechnol J. 2020 Sep 24;18:2774-2788. doi: 10.1016/j.csbj.2020.09.024. eCollection 2020.
Comput Struct Biotechnol J. 2020.
PMID: 33101614
Free PMC article.
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Cytological analysis and structural quantification of FtsZ1-2 and FtsZ2-1 network characteristics in Physcomitrella patens.
Özdemir B, Asgharzadeh P, Birkhold AI, Mueller SJ, Röhrle O, Reski R.
Özdemir B, et al. Among authors: asgharzadeh p.
Sci Rep. 2018 Jul 24;8(1):11165. doi: 10.1038/s41598-018-29284-y.
Sci Rep. 2018.
PMID: 30042487
Free PMC article.
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