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.
| Original language | English |
|---|---|
| Title of host publication | Methods in Molecular Biology |
| Publisher | Humana Press Inc. |
| Pages | 337-359 |
| Number of pages | 23 |
| DOIs | |
| Publication status | Published - Jan 1 2018 |
Publication series
| Name | Methods in Molecular Biology |
|---|---|
| Volume | 1702 |
| ISSN (Print) | 1064-3745 |
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Keywords
- Laboratory data management
- Modeling
- Molecular imaging
- Omics
- Software
- System biology
ASJC Scopus subject areas
- Molecular Biology
- Genetics
Cite this
Systems biology-driven hypotheses tested in vivo : The need to advancing molecular imaging tools. / Verma, Garima; Palombo, Alessandro; Grigioni, Mauro; La Monaca, Morena; D’Avenio, Giuseppe.
Methods in Molecular Biology. Humana Press Inc., 2018. p. 337-359 (Methods in Molecular Biology; Vol. 1702).Research output: Chapter in Book/Report/Conference proceeding › Chapter
}
TY - CHAP
T1 - Systems biology-driven hypotheses tested in vivo
T2 - The need to advancing molecular imaging tools
AU - Verma, Garima
AU - Palombo, Alessandro
AU - Grigioni, Mauro
AU - La Monaca, Morena
AU - D’Avenio, Giuseppe
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
KW - Laboratory data management
KW - Modeling
KW - Molecular imaging
KW - Omics
KW - Software
KW - System biology
UR - http://www.scopus.com/inward/record.url?scp=85033726554&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85033726554&partnerID=8YFLogxK
U2 - 10.1007/978-1-4939-7456-6_17
DO - 10.1007/978-1-4939-7456-6_17
M3 - Chapter
C2 - 29119514
AN - SCOPUS:85033726554
T3 - Methods in Molecular Biology
SP - 337
EP - 359
BT - Methods in Molecular Biology
PB - Humana Press Inc.
ER -