Project acronym 3D-OA-HISTO
Project Development of 3D Histopathological Grading of Osteoarthritis
Researcher (PI) Simo Jaakko Saarakkala
Host Institution (HI) OULUN YLIOPISTO
Call Details Starting Grant (StG), LS7, ERC-2013-StG
Summary "Background: Osteoarthritis (OA) is a common musculoskeletal disease occurring worldwide. Despite extensive research, etiology of OA is still poorly understood. Histopathological grading (HPG) of 2D tissue sections is the gold standard reference method for determination of OA stage. However, traditional 2D-HPG is destructive and based only on subjective visual evaluation. These limitations induce bias to clinical in vitro OA diagnostics and basic research that both rely strongly on HPG.
Objectives: 1) To establish and validate the very first 3D-HPG of OA based on cutting-edge nano/micro-CT (Computed Tomography) technologies in vitro; 2) To use the established method to clarify the beginning phases of OA; and 3) To validate 3D-HPG of OA for in vivo use.
Methods: Several hundreds of human osteochondral samples from patients undergoing total knee arthroplasty will be collected. The samples will be imaged in vitro with nano/micro-CT and clinical high-end extremity CT devices using specific contrast-agents to quantify tissue constituents and structure in 3D in large volume. From this information, a novel 3D-HPG is developed with statistical classification algorithms. Finally, the developed novel 3D-HPG of OA will be applied clinically in vivo.
Significance: This is the very first study to establish 3D-HPG of OA pathology in vitro and in vivo. Furthermore, the developed technique hugely improves the understanding of the beginning phases of OA. Ultimately, the study will contribute for improving OA patients’ quality of life by slowing the disease progression, and for providing powerful tools to develop new OA therapies."
Summary
"Background: Osteoarthritis (OA) is a common musculoskeletal disease occurring worldwide. Despite extensive research, etiology of OA is still poorly understood. Histopathological grading (HPG) of 2D tissue sections is the gold standard reference method for determination of OA stage. However, traditional 2D-HPG is destructive and based only on subjective visual evaluation. These limitations induce bias to clinical in vitro OA diagnostics and basic research that both rely strongly on HPG.
Objectives: 1) To establish and validate the very first 3D-HPG of OA based on cutting-edge nano/micro-CT (Computed Tomography) technologies in vitro; 2) To use the established method to clarify the beginning phases of OA; and 3) To validate 3D-HPG of OA for in vivo use.
Methods: Several hundreds of human osteochondral samples from patients undergoing total knee arthroplasty will be collected. The samples will be imaged in vitro with nano/micro-CT and clinical high-end extremity CT devices using specific contrast-agents to quantify tissue constituents and structure in 3D in large volume. From this information, a novel 3D-HPG is developed with statistical classification algorithms. Finally, the developed novel 3D-HPG of OA will be applied clinically in vivo.
Significance: This is the very first study to establish 3D-HPG of OA pathology in vitro and in vivo. Furthermore, the developed technique hugely improves the understanding of the beginning phases of OA. Ultimately, the study will contribute for improving OA patients’ quality of life by slowing the disease progression, and for providing powerful tools to develop new OA therapies."
Max ERC Funding
1 500 000 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym ADHESWITCHES
Project Adhesion switches in cancer and development: from in vivo to synthetic biology
Researcher (PI) Mari Johanna Ivaska
Host Institution (HI) TURUN YLIOPISTO
Call Details Consolidator Grant (CoG), LS3, ERC-2013-CoG
Summary Integrins are transmembrane cell adhesion receptors controlling cell proliferation and migration. Our objective is to gain fundamentally novel mechanistic insight into the emerging new roles of integrins in cancer and to generate a road map of integrin dependent pathways critical in mammary gland development and integrin signalling thus opening new targets for therapeutic interventions. We will combine an in vivo based translational approach with cell and molecular biological studies aiming to identify entirely novel concepts in integrin function using cutting edge techniques and synthetic-biology tools.
The specific objectives are:
1) Integrin inactivation in branching morphogenesis and cancer invasion. Integrins regulate mammary gland development and cancer invasion but the role of integrin inactivating proteins in these processes is currently completely unknown. We will investigate this using genetically modified mice, ex-vivo organoid models and human tissues with the aim to identify beneficial combinational treatments against cancer invasion.
2) Endosomal adhesomes – cross-talk between integrin activity and integrin “inside-in signaling”. We hypothesize that endocytosed active integrins engage in specialized endosomal signaling that governs cell survival especially in cancer. RNAi cell arrays, super-resolution STED imaging and endosomal proteomics will be used to investigate integrin signaling in endosomes.
3) Spatio-temporal co-ordination of adhesion and endocytosis. Several cytosolic proteins compete for integrin binding to regulate activation, endocytosis and recycling. Photoactivatable protein-traps and predefined matrix micropatterns will be employed to mechanistically dissect the spatio-temporal dynamics and hierarchy of their recruitment.
We will employ innovative and unconventional techniques to address three major unanswered questions in the field and significantly advance our understanding of integrin function in development and cancer.
Summary
Integrins are transmembrane cell adhesion receptors controlling cell proliferation and migration. Our objective is to gain fundamentally novel mechanistic insight into the emerging new roles of integrins in cancer and to generate a road map of integrin dependent pathways critical in mammary gland development and integrin signalling thus opening new targets for therapeutic interventions. We will combine an in vivo based translational approach with cell and molecular biological studies aiming to identify entirely novel concepts in integrin function using cutting edge techniques and synthetic-biology tools.
The specific objectives are:
1) Integrin inactivation in branching morphogenesis and cancer invasion. Integrins regulate mammary gland development and cancer invasion but the role of integrin inactivating proteins in these processes is currently completely unknown. We will investigate this using genetically modified mice, ex-vivo organoid models and human tissues with the aim to identify beneficial combinational treatments against cancer invasion.
2) Endosomal adhesomes – cross-talk between integrin activity and integrin “inside-in signaling”. We hypothesize that endocytosed active integrins engage in specialized endosomal signaling that governs cell survival especially in cancer. RNAi cell arrays, super-resolution STED imaging and endosomal proteomics will be used to investigate integrin signaling in endosomes.
3) Spatio-temporal co-ordination of adhesion and endocytosis. Several cytosolic proteins compete for integrin binding to regulate activation, endocytosis and recycling. Photoactivatable protein-traps and predefined matrix micropatterns will be employed to mechanistically dissect the spatio-temporal dynamics and hierarchy of their recruitment.
We will employ innovative and unconventional techniques to address three major unanswered questions in the field and significantly advance our understanding of integrin function in development and cancer.
Max ERC Funding
1 887 910 €
Duration
Start date: 2014-05-01, End date: 2019-04-30
Project acronym ALEM
Project ADDITIONAL LOSSES IN ELECTRICAL MACHINES
Researcher (PI) Matti Antero Arkkio
Host Institution (HI) AALTO KORKEAKOULUSAATIO SR
Call Details Advanced Grant (AdG), PE8, ERC-2013-ADG
Summary "Electrical motors consume about 40 % of the electrical energy produced in the European Union. About 90 % of this energy is converted to mechanical work. However, 0.5-2.5 % of it goes to so called additional load losses whose exact origins are unknown. Our ambitious aim is to reveal the origins of these losses, build up numerical tools for modeling them and optimize electrical motors to minimize the losses.
As the hypothesis of the research, we assume that the additional losses mainly result from the deterioration of the core materials during the manufacturing process of the machine. By calorimetric measurements, we have found that the core losses of electrical machines may be twice as large as comprehensive loss models predict. The electrical steel sheets are punched, welded together and shrink fit to the frame. This causes residual strains in the core sheets deteriorating their magnetic characteristics. The cutting burrs make galvanic contacts between the sheets and form paths for inter-lamination currents. Another potential source of additional losses are the circulating currents between the parallel strands of random-wound armature windings. The stochastic nature of these potential sources of additional losses puts more challenge on the research.
We shall develop a physical loss model that couples the mechanical strains and electromagnetic losses in electrical steel sheets and apply the new model for comprehensive loss analysis of electrical machines. The stochastic variables related to the core losses and circulating-current losses will be discretized together with the temporal and spatial discretization of the electromechanical field variables. The numerical stochastic loss model will be used to search for such machine constructions that are insensitive to the manufacturing defects. We shall validate the new numerical loss models by electromechanical and calorimetric measurements."
Summary
"Electrical motors consume about 40 % of the electrical energy produced in the European Union. About 90 % of this energy is converted to mechanical work. However, 0.5-2.5 % of it goes to so called additional load losses whose exact origins are unknown. Our ambitious aim is to reveal the origins of these losses, build up numerical tools for modeling them and optimize electrical motors to minimize the losses.
As the hypothesis of the research, we assume that the additional losses mainly result from the deterioration of the core materials during the manufacturing process of the machine. By calorimetric measurements, we have found that the core losses of electrical machines may be twice as large as comprehensive loss models predict. The electrical steel sheets are punched, welded together and shrink fit to the frame. This causes residual strains in the core sheets deteriorating their magnetic characteristics. The cutting burrs make galvanic contacts between the sheets and form paths for inter-lamination currents. Another potential source of additional losses are the circulating currents between the parallel strands of random-wound armature windings. The stochastic nature of these potential sources of additional losses puts more challenge on the research.
We shall develop a physical loss model that couples the mechanical strains and electromagnetic losses in electrical steel sheets and apply the new model for comprehensive loss analysis of electrical machines. The stochastic variables related to the core losses and circulating-current losses will be discretized together with the temporal and spatial discretization of the electromechanical field variables. The numerical stochastic loss model will be used to search for such machine constructions that are insensitive to the manufacturing defects. We shall validate the new numerical loss models by electromechanical and calorimetric measurements."
Max ERC Funding
2 489 949 €
Duration
Start date: 2014-03-01, End date: 2019-02-28
Project acronym AMAIZE
Project Atlas of leaf growth regulatory networks in MAIZE
Researcher (PI) Dirk, Gustaaf Inzé
Host Institution (HI) VIB
Call Details Advanced Grant (AdG), LS9, ERC-2013-ADG
Summary "Understanding how organisms regulate size is one of the most fascinating open questions in biology. The aim of the AMAIZE project is to unravel how growth of maize leaves is controlled. Maize leaf development offers great opportunities to study the dynamics of growth regulatory networks, essentially because leaf development is a linear system with cell division at the leaf basis followed by cell expansion and maturation. Furthermore, the growth zone is relatively large allowing easy access of tissues at different positions. Four different perturbations of maize leaf size will be analyzed with cellular resolution: wild-type and plants having larger leaves (as a consequence of GA20OX1 overexpression), both grown under either well-watered or mild drought conditions. Firstly, a 3D cellular map of the growth zone of the fourth leaf will be made. RNA-SEQ of three different tissues (adaxial- and abaxial epidermis; mesophyll) obtained by laser dissection with an interval of 2.5 mm along the growth zone will allow for the analysis of the transcriptome with high resolution. Additionally, the composition of fifty selected growth regulatory protein complexes and DNA targets of transcription factors will be determined with an interval of 5 mm along the growth zone. Computational methods will be used to construct comprehensive integrative maps of the cellular and molecular processes occurring along the growth zone. Finally, selected regulatory nodes of the growth regulatory networks will be further functionally analyzed using a transactivation system in maize.
AMAIZE opens up new perspectives for the identification of optimal growth regulatory networks that can be selected for by advanced breeding or for which more robust variants (e.g. reduced susceptibility to drought) can be obtained through genetic engineering. The ability to improve the growth of maize and in analogy other cereals could have a high impact in providing food security"
Summary
"Understanding how organisms regulate size is one of the most fascinating open questions in biology. The aim of the AMAIZE project is to unravel how growth of maize leaves is controlled. Maize leaf development offers great opportunities to study the dynamics of growth regulatory networks, essentially because leaf development is a linear system with cell division at the leaf basis followed by cell expansion and maturation. Furthermore, the growth zone is relatively large allowing easy access of tissues at different positions. Four different perturbations of maize leaf size will be analyzed with cellular resolution: wild-type and plants having larger leaves (as a consequence of GA20OX1 overexpression), both grown under either well-watered or mild drought conditions. Firstly, a 3D cellular map of the growth zone of the fourth leaf will be made. RNA-SEQ of three different tissues (adaxial- and abaxial epidermis; mesophyll) obtained by laser dissection with an interval of 2.5 mm along the growth zone will allow for the analysis of the transcriptome with high resolution. Additionally, the composition of fifty selected growth regulatory protein complexes and DNA targets of transcription factors will be determined with an interval of 5 mm along the growth zone. Computational methods will be used to construct comprehensive integrative maps of the cellular and molecular processes occurring along the growth zone. Finally, selected regulatory nodes of the growth regulatory networks will be further functionally analyzed using a transactivation system in maize.
AMAIZE opens up new perspectives for the identification of optimal growth regulatory networks that can be selected for by advanced breeding or for which more robust variants (e.g. reduced susceptibility to drought) can be obtained through genetic engineering. The ability to improve the growth of maize and in analogy other cereals could have a high impact in providing food security"
Max ERC Funding
2 418 429 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym ARISTOTLE
Project Aristotle in the Italian Vernacular: Rethinking Renaissance and Early-Modern Intellectual History (c. 1400–c. 1650)
Researcher (PI) Marco Sgarbi
Host Institution (HI) UNIVERSITA CA' FOSCARI VENEZIA
Call Details Starting Grant (StG), SH5, ERC-2013-StG
Summary From the twelfth to the seventeenth century, Aristotle’s writings lay at the foundation of Western culture, providing a body of knowledge and a set of analytical tools applicable to all areas of human investigation. Scholars of the Renaissance have emphasized the remarkable longevity and versatility of Aristotelianism, but their attention has remained firmly, and almost exclusively, fixed on the transmission of Aristotle’s works in Latin. Scarce attention has gone to works in the vernacular. Nonetheless, several important Renaissance figures wished to make Aristotle’s works accessible and available outside the narrow circle of professional philosophers and university professors. They believed that his works could provide essential knowledge to a broad set of readers, and embarked on an intense programme of translation and commentary to see this happen. It is the argument of this project that vernacular Aristotelianism made fundamental contributions to the thought of the period, anticipating many of the features of early modern philosophy and contributing to a new encyclopaedia of knowledge. Our project aims to offer the first detailed and comprehensive study of the vernacular diffusion of Aristotle through a series of analyses of its main texts. We will thus study works that fall within the two main Renaissance divisions of speculative philosophy (metaphysics, natural philosophy, mathematics, and logic) and civil philosophy (ethics, politics, rhetoric, and poetics). We will give strong attention to the contextualization of the texts they examine, as is standard practice in the best kind of intellectual history, focusing on institutional contexts, reading publics, the value of the vernacular, new visions of knowledge and eclecticism. With the work of the PI, two professors, 5 post-docs and two PhD students we aim to make considerable advances in the understanding of both speculative and civil philosophy within vernacular Aristotelianism.
Summary
From the twelfth to the seventeenth century, Aristotle’s writings lay at the foundation of Western culture, providing a body of knowledge and a set of analytical tools applicable to all areas of human investigation. Scholars of the Renaissance have emphasized the remarkable longevity and versatility of Aristotelianism, but their attention has remained firmly, and almost exclusively, fixed on the transmission of Aristotle’s works in Latin. Scarce attention has gone to works in the vernacular. Nonetheless, several important Renaissance figures wished to make Aristotle’s works accessible and available outside the narrow circle of professional philosophers and university professors. They believed that his works could provide essential knowledge to a broad set of readers, and embarked on an intense programme of translation and commentary to see this happen. It is the argument of this project that vernacular Aristotelianism made fundamental contributions to the thought of the period, anticipating many of the features of early modern philosophy and contributing to a new encyclopaedia of knowledge. Our project aims to offer the first detailed and comprehensive study of the vernacular diffusion of Aristotle through a series of analyses of its main texts. We will thus study works that fall within the two main Renaissance divisions of speculative philosophy (metaphysics, natural philosophy, mathematics, and logic) and civil philosophy (ethics, politics, rhetoric, and poetics). We will give strong attention to the contextualization of the texts they examine, as is standard practice in the best kind of intellectual history, focusing on institutional contexts, reading publics, the value of the vernacular, new visions of knowledge and eclecticism. With the work of the PI, two professors, 5 post-docs and two PhD students we aim to make considerable advances in the understanding of both speculative and civil philosophy within vernacular Aristotelianism.
Max ERC Funding
1 483 180 €
Duration
Start date: 2014-05-01, End date: 2019-04-30
Project acronym ART
Project Aberrant RNA degradation in T-cell leukemia
Researcher (PI) Jan Cools
Host Institution (HI) VIB
Call Details Consolidator Grant (CoG), LS4, ERC-2013-CoG
Summary "The deregulation of transcription is an important driver of leukemia development. Typically, transcription in leukemia cells is altered by the ectopic expression of transcription factors, by modulation of signaling pathways or by epigenetic changes. In addition to these factors that affect the production of RNAs, also changes in the processing of RNA (its splicing, transport and decay) may contribute to determine steady-state RNA levels in leukemia cells. Indeed, acquired mutations in various genes encoding RNA splice factors have recently been identified in myeloid leukemias and in chronic lymphocytic leukemia. In our study of T-cell acute lymphoblastic leukemia (T-ALL), we have identified mutations in RNA decay factors, including mutations in CNOT3, a protein believed to function in deadenylation of mRNA. It remains, however, unclear how mutations in RNA processing can contribute to the development of leukemia.
In this project, we aim to further characterize the mechanisms of RNA regulation in T-cell acute lymphoblastic leukemia (T-ALL) to obtain insight in the interplay between RNA generation and RNA decay and its role in leukemia development. We will study RNA decay in human T-ALL cells and mouse models of T-ALL, with the aim to identify the molecular consequences that contribute to leukemia development. We will use new technologies such as RNA-sequencing in combination with bromouridine labeling of RNA to measure RNA transcription and decay rates in a transcriptome wide manner allowing unbiased discoveries. These studies will be complemented with screens in Drosophila melanogaster using an established eye cancer model, previously also successfully used for the studies of T-ALL oncogenes.
This study will contribute to our understanding of the pathogenesis of T-ALL and may identify new targets for therapy of this leukemia. In addition, our study will provide a better understanding of how RNA processing is implicated in cancer development in general."
Summary
"The deregulation of transcription is an important driver of leukemia development. Typically, transcription in leukemia cells is altered by the ectopic expression of transcription factors, by modulation of signaling pathways or by epigenetic changes. In addition to these factors that affect the production of RNAs, also changes in the processing of RNA (its splicing, transport and decay) may contribute to determine steady-state RNA levels in leukemia cells. Indeed, acquired mutations in various genes encoding RNA splice factors have recently been identified in myeloid leukemias and in chronic lymphocytic leukemia. In our study of T-cell acute lymphoblastic leukemia (T-ALL), we have identified mutations in RNA decay factors, including mutations in CNOT3, a protein believed to function in deadenylation of mRNA. It remains, however, unclear how mutations in RNA processing can contribute to the development of leukemia.
In this project, we aim to further characterize the mechanisms of RNA regulation in T-cell acute lymphoblastic leukemia (T-ALL) to obtain insight in the interplay between RNA generation and RNA decay and its role in leukemia development. We will study RNA decay in human T-ALL cells and mouse models of T-ALL, with the aim to identify the molecular consequences that contribute to leukemia development. We will use new technologies such as RNA-sequencing in combination with bromouridine labeling of RNA to measure RNA transcription and decay rates in a transcriptome wide manner allowing unbiased discoveries. These studies will be complemented with screens in Drosophila melanogaster using an established eye cancer model, previously also successfully used for the studies of T-ALL oncogenes.
This study will contribute to our understanding of the pathogenesis of T-ALL and may identify new targets for therapy of this leukemia. In addition, our study will provide a better understanding of how RNA processing is implicated in cancer development in general."
Max ERC Funding
1 998 300 €
Duration
Start date: 2014-05-01, End date: 2019-04-30
Project acronym BIC
Project Cavitation across scales: following Bubbles from Inception to Collapse
Researcher (PI) Carlo Massimo Casciola
Host Institution (HI) UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Call Details Advanced Grant (AdG), PE8, ERC-2013-ADG
Summary Cavitation is the formation of vapor cavities inside a liquid due to low pressure. Cavitation is an ubiquitous and destructive phenomenon common to most engineering applications that deal with flowing water. At the same time, the extreme conditions realized in cavitation are increasingly exploited in medicine, chemistry, and biology. What makes cavitation unpredictable is its multiscale nature: nucleation of vapor bubbles heavily depends on micro- and nanoscale details; mesoscale phenomena, as bubble collapse, determine relevant macroscopic effects, e.g., cavitation damage. In addition, macroscopic flow conditions, such as turbulence, have a major impact on it.
The objective of the BIC project is to develop the lacking multiscale description of cavitation, by proposing new integrated numerical methods capable to perform quantitative predictions. The detailed and physically sound understanding of the multifaceted phenomena involved in cavitation (nucleation, bubble growth, transport, and collapse in turbulent flows) fostered by BIC project will result in new methods for designing fluid machinery, but also therapies in ultrasound medicine and chemical reactors. The BIC project builds upon the exceptionally broad experience of the PI and of his research group in numerical simulations of flows at different scales that include advanced atomistic simulations of nanoscale wetting phenomena, mesoscale models for multiphase flows, and particle-laden turbulent flows. The envisaged numerical methodologies (free-energy atomistic simulations, phase-field models, and Direct Numerical Simulation of bubble-laden flows) will be supported by targeted experimental activities, designed to validate models and characterize realistic conditions.
Summary
Cavitation is the formation of vapor cavities inside a liquid due to low pressure. Cavitation is an ubiquitous and destructive phenomenon common to most engineering applications that deal with flowing water. At the same time, the extreme conditions realized in cavitation are increasingly exploited in medicine, chemistry, and biology. What makes cavitation unpredictable is its multiscale nature: nucleation of vapor bubbles heavily depends on micro- and nanoscale details; mesoscale phenomena, as bubble collapse, determine relevant macroscopic effects, e.g., cavitation damage. In addition, macroscopic flow conditions, such as turbulence, have a major impact on it.
The objective of the BIC project is to develop the lacking multiscale description of cavitation, by proposing new integrated numerical methods capable to perform quantitative predictions. The detailed and physically sound understanding of the multifaceted phenomena involved in cavitation (nucleation, bubble growth, transport, and collapse in turbulent flows) fostered by BIC project will result in new methods for designing fluid machinery, but also therapies in ultrasound medicine and chemical reactors. The BIC project builds upon the exceptionally broad experience of the PI and of his research group in numerical simulations of flows at different scales that include advanced atomistic simulations of nanoscale wetting phenomena, mesoscale models for multiphase flows, and particle-laden turbulent flows. The envisaged numerical methodologies (free-energy atomistic simulations, phase-field models, and Direct Numerical Simulation of bubble-laden flows) will be supported by targeted experimental activities, designed to validate models and characterize realistic conditions.
Max ERC Funding
2 491 200 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym BIOTENSORS
Project Biomedical Data Fusion using Tensor based Blind Source Separation
Researcher (PI) Sabine Jeanne A Van Huffel
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Advanced Grant (AdG), PE6, ERC-2013-ADG
Summary "Summary: the quest for a general functional tensor framework for blind source separation
Our overall objective is the development of a general functional framework for solving tensor based blind source separation (BSS) problems in biomedical data fusion, using tensor decompositions (TDs) as basic core. We claim that TDs will allow the extraction of fairly complicated sources of biomedical activity from fairly complicated sets of uni- and multimodal data. The power of the new techniques will be demonstrated for three well-chosen representative biomedical applications for which extensive expertise and fully validated datasets are available in the PI’s team, namely:
• Metabolite quantification and brain tumour tissue typing using Magnetic Resonance Spectroscopic Imaging,
• Functional monitoring including seizure detection and polysomnography,
• Cognitive brain functioning and seizure zone localization using simultaneous Electroencephalography-functional MR Imaging integration.
Solving these challenging problems requires that algorithmic progress is made in several directions:
• Algorithms need to be based on multilinear extensions of numerical linear algebra.
• New grounds for separation, such as representability in a given function class, need to be explored.
• Prior knowledge needs to be exploited via appropriate health relevant constraints.
• Biomedical data fusion requires the combination of TDs, coupled via relevant constraints.
• Algorithms for TD updating are important for continuous long-term patient monitoring.
The algorithms are eventually integrated in an easy-to-use open source software platform that is general enough for use in other BSS applications.
Having been involved in biomedical signal processing over a period of 20 years, the PI has a good overview of the field and the opportunities. By working directly at the forefront in close collaboration with the clinical scientists who actually use our software, we can have a huge impact."
Summary
"Summary: the quest for a general functional tensor framework for blind source separation
Our overall objective is the development of a general functional framework for solving tensor based blind source separation (BSS) problems in biomedical data fusion, using tensor decompositions (TDs) as basic core. We claim that TDs will allow the extraction of fairly complicated sources of biomedical activity from fairly complicated sets of uni- and multimodal data. The power of the new techniques will be demonstrated for three well-chosen representative biomedical applications for which extensive expertise and fully validated datasets are available in the PI’s team, namely:
• Metabolite quantification and brain tumour tissue typing using Magnetic Resonance Spectroscopic Imaging,
• Functional monitoring including seizure detection and polysomnography,
• Cognitive brain functioning and seizure zone localization using simultaneous Electroencephalography-functional MR Imaging integration.
Solving these challenging problems requires that algorithmic progress is made in several directions:
• Algorithms need to be based on multilinear extensions of numerical linear algebra.
• New grounds for separation, such as representability in a given function class, need to be explored.
• Prior knowledge needs to be exploited via appropriate health relevant constraints.
• Biomedical data fusion requires the combination of TDs, coupled via relevant constraints.
• Algorithms for TD updating are important for continuous long-term patient monitoring.
The algorithms are eventually integrated in an easy-to-use open source software platform that is general enough for use in other BSS applications.
Having been involved in biomedical signal processing over a period of 20 years, the PI has a good overview of the field and the opportunities. By working directly at the forefront in close collaboration with the clinical scientists who actually use our software, we can have a huge impact."
Max ERC Funding
2 500 000 €
Duration
Start date: 2014-04-01, End date: 2019-03-31
Project acronym CALDER
Project Cryogenic wide-Area Light Detectors
with Excellent Resolution
Researcher (PI) Marco Vignati
Host Institution (HI) ISTITUTO NAZIONALE DI FISICA NUCLEARE
Call Details Starting Grant (StG), PE2, ERC-2013-StG
Summary "In the comprehension of fundamental laws of nature, particle physics is now facing two important questions:
1) What is the nature of the neutrino, is it a standard (Dirac) particle or a Majorana particle? The nature of the neutrino plays a crucial role in the global framework of particle interactions and in cosmology. The only practicable way to answer this question is to search for a nuclear process called ""neutrinoless double beta decay"" (0nuDBD).
2) What is the so called ""dark matter"" made of? Astrophysical observations suggest that the largest part of the mass of the Universe is composed by a form of matter other than atoms and known matter constituents. We still do not know what dark matter is made of because its rate of interaction with ordinary matter is really low, thus making the direct experimental detection extremely difficult.
Both 0nuDBD and dark matter interactions are rare processes and can be detected using the same experimental technique. Bolometers are promising devices and their combination with light detectors provides the identification of interacting particles, a powerful tool to reduce the background.
The goal of CALDER is to realize a new type of light detectors to improve the upcoming generation of bolometric experiments. The detectors will be designed to feature unprecedented energy resolution and reliability, to ensure an almost complete particle identification. In case of success, CUORE, a 0nuDBD experiment in construction, would gain in sensitivity by up to a factor 6. LUCIFER, a 0nuDBD experiment already implementing the light detection, could be sensitive also to dark matter interactions, thus increasing its research potential. The light detectors will be based on Kinetic Inductance Detectors (KIDs), a new technology that proved its potential in astrophysical applications but that is still new in the field of particle physics and rare event searches."
Summary
"In the comprehension of fundamental laws of nature, particle physics is now facing two important questions:
1) What is the nature of the neutrino, is it a standard (Dirac) particle or a Majorana particle? The nature of the neutrino plays a crucial role in the global framework of particle interactions and in cosmology. The only practicable way to answer this question is to search for a nuclear process called ""neutrinoless double beta decay"" (0nuDBD).
2) What is the so called ""dark matter"" made of? Astrophysical observations suggest that the largest part of the mass of the Universe is composed by a form of matter other than atoms and known matter constituents. We still do not know what dark matter is made of because its rate of interaction with ordinary matter is really low, thus making the direct experimental detection extremely difficult.
Both 0nuDBD and dark matter interactions are rare processes and can be detected using the same experimental technique. Bolometers are promising devices and their combination with light detectors provides the identification of interacting particles, a powerful tool to reduce the background.
The goal of CALDER is to realize a new type of light detectors to improve the upcoming generation of bolometric experiments. The detectors will be designed to feature unprecedented energy resolution and reliability, to ensure an almost complete particle identification. In case of success, CUORE, a 0nuDBD experiment in construction, would gain in sensitivity by up to a factor 6. LUCIFER, a 0nuDBD experiment already implementing the light detection, could be sensitive also to dark matter interactions, thus increasing its research potential. The light detectors will be based on Kinetic Inductance Detectors (KIDs), a new technology that proved its potential in astrophysical applications but that is still new in the field of particle physics and rare event searches."
Max ERC Funding
1 176 758 €
Duration
Start date: 2014-03-01, End date: 2019-02-28
Project acronym CAPS
Project Capillary suspensions: a novel route for versatile, cost efficient and environmentally friendly material design
Researcher (PI) Erin Crystal Koos
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Starting Grant (StG), PE8, ERC-2013-StG
Summary A wide variety of materials including coatings and adhesives, emerging materials for nanotechnology products, as well as everyday food products are processed or delivered as suspensions. The flow properties of such suspensions must be finely adjusted according to the demands of the respective processing techniques, even for the feel of cosmetics and the perception of food products is highly influenced by their rheological properties. The recently developed capillary suspensions concept has the potential to revolutionize product formulations and material design. When a small amount (less than 1%) of a second immiscible liquid is added to the continuous phase of a suspension, the rheological properties of the mixture are dramatically altered from a fluid-like to a gel-like state or from a weak to a strong gel and the strength can be tuned in a wide range covering orders of magnitude. Capillary suspensions can be used to create smart, tunable fluids, stabilize mixtures that would otherwise phase separate, significantly reduce the amount organic or polymeric additives, and the strong particle network can be used as a precursor for the manufacturing of cost-efficient porous ceramics and foams with unprecedented properties.
This project will investigate the influence of factors determining capillary suspension formation, the strength of these admixtures as a function of these aspects, and how capillary suspensions depend on external forces. Only such a fundamental understanding of the network formation in capillary suspensions on both the micro- and macroscopic scale will allow for the design of sophisticated new materials. The main objectives of this proposal are to quantify and predict the strength of these admixtures and then use this information to design a variety of new materials in very different application areas including, e.g., porous materials, water-based coatings, ultra low fat foods, and conductive films.
Summary
A wide variety of materials including coatings and adhesives, emerging materials for nanotechnology products, as well as everyday food products are processed or delivered as suspensions. The flow properties of such suspensions must be finely adjusted according to the demands of the respective processing techniques, even for the feel of cosmetics and the perception of food products is highly influenced by their rheological properties. The recently developed capillary suspensions concept has the potential to revolutionize product formulations and material design. When a small amount (less than 1%) of a second immiscible liquid is added to the continuous phase of a suspension, the rheological properties of the mixture are dramatically altered from a fluid-like to a gel-like state or from a weak to a strong gel and the strength can be tuned in a wide range covering orders of magnitude. Capillary suspensions can be used to create smart, tunable fluids, stabilize mixtures that would otherwise phase separate, significantly reduce the amount organic or polymeric additives, and the strong particle network can be used as a precursor for the manufacturing of cost-efficient porous ceramics and foams with unprecedented properties.
This project will investigate the influence of factors determining capillary suspension formation, the strength of these admixtures as a function of these aspects, and how capillary suspensions depend on external forces. Only such a fundamental understanding of the network formation in capillary suspensions on both the micro- and macroscopic scale will allow for the design of sophisticated new materials. The main objectives of this proposal are to quantify and predict the strength of these admixtures and then use this information to design a variety of new materials in very different application areas including, e.g., porous materials, water-based coatings, ultra low fat foods, and conductive films.
Max ERC Funding
1 489 618 €
Duration
Start date: 2013-08-01, End date: 2018-07-31
