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Analysis and modelling of biophysical processes from single-particle tracking data

Dora, Matteo

Analysis and modelling of biophysical processes from single-particle tracking data.

Rel. Andrea Pagnani. Politecnico di Torino, Corso di laurea magistrale in Physics Of Complex Systems (Fisica Dei Sistemi Complessi), 2018

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Licenza: Creative Commons Attribution Non-commercial No Derivatives.

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Abstract:

Super-resolution single-particle tracking provides a huge amount of new data about biological systems. Here we describe statistical methods and data analysis techniques to extract relevant biophysical features from SPT data, reconstructing the dynamics of amyloid beta aggregates in cells. Then, we consider a model describing the motion of molecules on the endoplasmic reticulum (ER) and present the results of numerical simulations that allowed to estimate for the first time the timescale of redistribution of material on the ER.

Relators: Andrea Pagnani
Academic year: 2018/19
Publication type: Electronic
Number of Pages: 36
Subjects:
Corso di laurea: Corso di laurea magistrale in Physics Of Complex Systems (Fisica Dei Sistemi Complessi)
Classe di laurea: New organization > Master science > LM-44 - MATHEMATICAL MODELLING FOR ENGINEERING
Ente in cotutela: Université Pierre et Marie Curie (Paris VI) (FRANCIA)
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/8980
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