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Analysis of confocal microscopy image data of Physcomitrella chloroplasts to reveal adaptation principles leading to structural stability at the nanoscale
Author(s) -
Asgharzadeh Pouyan,
Özdemir Bugra,
Müller Stefanie J.,
Reski Ralf,
Röhrle Oliver
Publication year - 2016
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.201610023
Subject(s) - physcomitrella patens , biological system , artificial intelligence , process (computing) , convolutional neural network , ftsz , computer science , confocal , plastid , nanotechnology , biology , chloroplast , materials science , physics , cytoskeleton , optics , biochemistry , genetics , gene , mutant , cell , operating system
Proteins of the FtsZ (filamentous temperature‐sensitive Z) family establish complex polymeric spatial patterns in plastids of the moss Physcomitrella patens. These structures represent a "plastoskeleton" that might contribute to plastid shape and stability. The aim of this work is to develop computer models of FtsZ network connectivity and dynamics. These computer models are developed from green fluorescent protein (GFP) images obtained by Prof. Reski's Plant Biotechnology group at the University of Freiburg by means of laser scanning confocal microscopy. Subsequently, structural reconstruction techniques based on cellular automata algorithm are applied on the raw image data to compensate for any information that is lost in the process of imaging. Segmentation of the processed data will result in the computer model of the targeted structures, which are used for further analysis. Model generation and experimental testing in the moss system is conducted in an iterative process with the aim of both forward and reverse biomimetics. A developed image processing algorithm with the aim of quantification of structural characteristics is utilized to extract structural features of the FtsZ network in Physcomitrella enabling us a statistical analysis on the extracted data. (© 2016 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)