@inbook{e4e0aa4bb02f4232b01c3b90e31522c3,
title = "Systems biology-driven hypotheses tested in vivo: The need to advancing molecular imaging tools",
abstract = "Processing and interpretation of biological images may provide invaluable insights on complex, living systems because images capture the overall dynamics as a “whole.” Therefore, “extraction” of key, quantitative morphological parameters could be, at least in principle, helpful in building a reliable systems biology approach in understanding living objects. Molecular imaging tools for system biology models have attained widespread usage in modern experimental laboratories. Here, we provide an overview on advances in the computational technology and different instrumentations focused on molecular image processing and analysis. Quantitative data analysis through various open source software and algorithmic protocols will provide a novel approach for modeling the experimental research program. Besides this, we also highlight the predictable future trends regarding methods for automatically analyzing biological data. Such tools will be very useful to understand the detailed biological and mathematical expressions under in-silico system biology processes with modeling properties.",
keywords = "Laboratory data management, Modeling, Molecular imaging, Omics, Software, System biology",
author = "Garima Verma and Alessandro Palombo and Mauro Grigioni and {La Monaca}, Morena and Giuseppe D{\textquoteright}Avenio",
year = "2018",
month = jan,
day = "1",
doi = "10.1007/978-1-4939-7456-6_17",
language = "English",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "337--359",
booktitle = "Methods in Molecular Biology",
}