scholarly journals Perspective: Differential dynamic microscopy extracts multi-scale activity in complex fluids and biological systems

2017 ◽  
Vol 147 (11) ◽  
pp. 110901 ◽  
Author(s):  
Roberto Cerbino ◽  
Pietro Cicuta
Keyword(s):  
Complex Fluids ◽  
Biological Systems ◽  
Multi Scale

Multi-scale simulations of biological systems using the OPEP coarse-grained model

2018 ◽  
Vol 498 (2) ◽  
pp. 296-304 ◽  
Author(s):  
Fabio Sterpone ◽  
Sébastien Doutreligne ◽  
Thanh Thuy Tran ◽  
Simone Melchionna ◽  
Marc Baaden ◽  
...  
Keyword(s):  
Biological Systems ◽  
Coarse Grained ◽  
Coarse Grained Model ◽  
Multi Scale

scholarly journals Multi-scale analysis and modelling of collective migration in biological systems

2020 ◽  
Vol 375 (1807) ◽  
pp. 20190377
Author(s):  
Andreas Deutsch ◽  
Peter Friedl ◽  
Luigi Preziosi ◽  
Guy Theraulaz
Keyword(s):  
Biological Systems ◽  
Collective Behaviour ◽  
Coherent Motion ◽  
Collective Cell Migration ◽  
Scale Analysis ◽  
Collective Migration ◽  
Theme Issue ◽  
Multi Scale ◽  
Recent Developments ◽  
Multi Scale Analysis

Collective migration has become a paradigm for emergent behaviour in systems of moving and interacting individual units resulting in coherent motion. In biology, these units are cells or organisms. Collective cell migration is important in embryonic development, where it underlies tissue and organ formation, as well as pathological processes, such as cancer invasion and metastasis. In animal groups, collective movements may enhance individuals' decisions and facilitate navigation through complex environments and access to food resources. Mathematical models can extract unifying principles behind the diverse manifestations of collective migration. In biology, with a few exceptions, collective migration typically occurs at a ‘mesoscopic scale’ where the number of units ranges from only a few dozen to a few thousands, in contrast to the large systems treated by statistical mechanics. Recent developments in multi-scale analysis have allowed linkage of mesoscopic to micro- and macroscopic scales, and for different biological systems. The articles in this theme issue on ‘Multi-scale analysis and modelling of collective migration’ compile a range of mathematical modelling ideas and multi-scale methods for the analysis of collective migration. These approaches (i) uncover new unifying organization principles of collective behaviour, (ii) shed light on the transition from single to collective migration, and (iii) allow us to define similarities and differences of collective behaviour in groups of cells and organisms. As a common theme, self-organized collective migration is the result of ecological and evolutionary constraints both at the cell and organismic levels. Thereby, the rules governing physiological collective behaviours also underlie pathological processes, albeit with different upstream inputs and consequences for the group. This article is part of the theme issue ‘Multi-scale analysis and modelling of collective migration in biological systems’.

The Conformation of Flexible Membranes

1991 ◽  
Vol 248 ◽  
Author(s):  
Reinhard Lipowsky ◽  
Joanna Cook-RÖder
Keyword(s):  
Lipid Bilayers ◽  
Complex Fluids ◽  
Biological Systems ◽  
Theoretical Work ◽  
Conformational Behavior ◽  
Structural Element ◽  
Recent Theoretical Work ◽  
Flexible Membranes

AbstractMembranes such as lipid bilayers are highly flexible surfaces which determine the architecture of biological systems and provide a basic structural element for the mesophases of complex fluids1. Two aspects of their conformational behavior will be considered. First, the morphology of vesicles and membranes is briefly reviewed. Then, recent theoretical work on adhesion (or cohesion) phenomena which involve whole bunches of membranes will be discussed.

scholarly journals Quantifying the multi-scale performance of network inference algorithms

2014 ◽  
Vol 13 (5) ◽  
Author(s):  
Chris J. Oates ◽  
Richard Amos ◽  
Simon E.F. Spencer
Keyword(s):  
Graphical Models ◽  
Network Inference ◽  
Multiple Scales ◽  
Biological Systems ◽  
Higher Order ◽  
Wisdom Of Crowds ◽  
Multi Scale ◽  
Reverse Engineer ◽  
Multiple Length Scales ◽  
Inference Algorithms

AbstractGraphical models are widely used to study complex multivariate biological systems. Network inference algorithms aim to reverse-engineer such models from noisy experimental data. It is common to assess such algorithms using techniques from classifier analysis. These metrics, based on ability to correctly infer individual edges, possess a number of appealing features including invariance to rank-preserving transformation. However, regulation in biological systems occurs on multiple scales and existing metrics do not take into account the correctness of higher-order network structure. In this paper novel performance scores are presented that share the appealing properties of existing scores, whilst capturing ability to uncover regulation on multiple scales. Theoretical results confirm that performance of a network inference algorithm depends crucially on the scale at which inferences are to be made; in particular strong local performance does not guarantee accurate reconstruction of higher-order topology. Applying these scores to a large corpus of data from the DREAM5 challenge, we undertake a data-driven assessment of estimator performance. We find that the “wisdom of crowds” network, that demonstrated superior local performance in the DREAM5 challenge, is also among the best performing methodologies for inference of regulation on multiple length scales.

Experimental investigation of the flow dynamics and rheology of complex fluids in pipe flow by hybrid multi-scale velocimetry

2017 ◽  
Vol 58 (11) ◽  
Author(s):  
Sanna Haavisto ◽  
Maria J. Cardona ◽  
Juha Salmela ◽  
Robert L. Powell ◽  
Michael J. McCarthy ◽  
...  
Keyword(s):  
Experimental Investigation ◽  
Pipe Flow ◽  
Complex Fluids ◽  
Flow Dynamics ◽  
Multi Scale
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