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8 results on '"Noldus Information Technology B.V."'

2. Towards best practices in research Role of academic core facilities

Author

Leonardo, Restivo, Björn, Gerlach, Michael, Tsoory, Lior, Bikovski, Sylvia, Badurek, Claudia, Pitzer, Isabelle C, Kos-Braun, Anne-Laure Mj, Mausset-Bonnefont, Jonathan, Ward, Michael, Schunn, Lucas Pjj, Noldus, Anton, Bespalov, Vootele, Voikar, Biosciences, Neuroscience Center, Helsinki Institute of Life Science HiLIFE, Department of Fundamental Neurosciences, [University of Lausanne], Université de Lausanne (UNIL), PAASP GmbH, Weizmann Institute of Science [Rehovot, Israël], Tel Aviv University [Tel Aviv], Vienna Biocenter Core Facilities, Partenaires INRAE, University of Heidelberg, Medical Faculty, Cellules Souches, Plasticité Cellulaire, Médecine Régénératrice et Immunothérapies (IRMB), Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Goethe-University Frankfurt am Main, Institute of Science and Technology [Austria] (IST Austria), Noldus Information Technology B.V., Helsinki Institute of Life Science (HiLIFE), University of Helsinki, and Bonnefont, Anne-Laure

Subjects
[SDV.BA] Life Sciences [q-bio]/Animal biology, [SDV.BA]Life Sciences [q-bio]/Animal biology, education, 1182 Biochemistry, cell and molecular biology, Methods & Resources, Science Policy & Publishing, Science & Society, ComputingMilieux_MISCELLANEOUS
Abstract

International audience; Academic Core Facilities are optimally situated to improve the quality of preclinical research by implementing quality control measures and offering these to their users.

Published
2021

3. Consumer facial expression as indicator of food acceptability: A biscuits exploratory study

Author

Catanéo, Clément, Bongers, Guus, Courcoux, Philippe, Lesme, Hanna, Prost, Carole, Rannou, Cécile, Ecole Nationale Vétérinaire, Agroalimentaire et de l'alimentation Nantes-Atlantique (ONIRIS), Matrices Aliments Procédés Propriétés Structure - Sensoriel (GEPEA-MAPS2), Laboratoire de génie des procédés - environnement - agroalimentaire (GEPEA), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Ecole Polytechnique de l'Université de Nantes (EPUN), Université de Nantes (UN)-Université de Nantes (UN)-Institut Universitaire de Technologie - Nantes (IUT Nantes), Université de Nantes (UN)-Institut Universitaire de Technologie Saint-Nazaire (IUT Saint-Nazaire), Université de Nantes (UN)-Institut Universitaire de Technologie - La Roche-sur-Yon (IUT La Roche-sur-Yon), Université de Nantes (UN)-Ecole Nationale Vétérinaire, Agroalimentaire et de l'alimentation Nantes-Atlantique (ONIRIS)-Université Bretagne Loire (UBL)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Ecole Nationale Vétérinaire, Agroalimentaire et de l'alimentation Nantes-Atlantique (ONIRIS)-Université Bretagne Loire (UBL), Noldus Information Technology B.V., Unité de Sensométrie et Chimiométrie, École nationale d'ingénieurs des techniques des industries agricoles et alimentaires (ENITIAA)-Institut National de la Recherche Agronomique (INRA), Ecole Nationale Vétérinaire, Agroalimentaire et de l'alimentation Nantes-Atlantique (ONIRIS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Vétérinaire, Agroalimentaire et de l'alimentation Nantes-Atlantique (ONIRIS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS), and Institut National de la Recherche Agronomique (INRA)-École nationale d'ingénieurs des techniques des industries agricoles et alimentaires (ENITIAA)

Subjects
[SDV]Life Sciences [q-bio], [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2019

4. Faces and Thoughts: An Empathic Dairy

Author

Nico van der Aa, Benjamin Allaert, Samuel Cruz-Lara, José Mennesson, Alexandre Denis, Ioan Marius Bilasco, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), FOX MIIRE (LIFL), Laboratoire d'Informatique Fondamentale de Lille (LIFL), Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS), Université de Lille, Sciences et Technologies, Noldus Information Technology B.V., Natural Language Processing : representations, inference and semantics (SYNALP), Department of Natural Language Processing & Knowledge Discovery (LORIA - NLPKD), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), IEEE, and European Project: ITEA3 11005,Empathic Products

Subjects
Multimedia, Computer science, Sentiment analysis, [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM], 020207 software engineering, 02 engineering and technology, computer.software_genre, Video image, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Android (operating system), Mobile device, computer
Abstract

International audience; Many diary apps have been developed for an Android mobile device. Although most concentrate on securing the privacy and adding emoticons, only a few include automatic emotion measurements. This demo shows a new diary app including real-time multi-modal emotion measurements to capture the affective state of the user from the text provided and video images made. The emotion measurements from the Emotion from Face module, that analyzes images from the front camera, and the Emotion from Text module, that analyzes the text written by the user, are merged within the Emotion Fusion module to estimate the user’s affective state more robustly. The app allows the user to have empathic feedback for each session.http://bit.ly/emp_diary_fg

Published
2015

5. Assessing behavioural and cognitive domains of autism spectrum disorders in rodents: current status and future perspectives

Author

Elodie Ey, Martien J H Kas, Jeffrey C. Glennon, Barbara Biemans, Frederic Esclassan, Jan K. Buitelaar, Clara Lajonchere, Robert H. Ring, Jacqueline N. Crawley, J. Peter H. Burbach, John Talpos, Lucas P. J. J. Noldus, Thomas Steckler, University Medical Center [Utrecht], Donders Institute for Brain, Cognition and Behaviour, Radboud university [Nijmegen], Génétique humaine et fonctions cognitives - Human Genetics and Cognitive Functions (GHFC (UMR_3571 / U-Pasteur_1)), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Institut Pasteur [Paris], Gènes, Synapses et Cognition, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Université Paris Diderot - Paris 7 (UPD7), Hoffmann-La Roche Ltd, Department of Psychiatry and Behavioral Sciences, University of California [Davis] (UC Davis), University of California-University of California-Center for neuroscience, Autism Genetic Resource Exchange, Autism Speaks, Keck School of Medicine [Los Angeles], University of Southern California (USC), Lilly Centre for Cognitive Neuroscience, Lilly Research Laboratories, Eli Lilly & Co. Ltd, Erl Wood Manor, Janssen Research & Development, Noldus Information Technology B.V., Institute of Neuroscience, The authors participate in the EU-AIMS project that receives support from the Innovative Medicines Initiative JointUndertaking under grant agreement no. 115300, resources of which are composed of financial contribution from the European Union 's Seventh Framework Programme (FP7/2007-2013), from the EFPIA companies in kind contribution and from Autism Speaks., European Project: 115300,EC:FP7:SP1-JTI,IMI-JU-03-2010,EU-AIMS(2012), Radboud University [Nijmegen], Institut Pasteur [Paris] (IP)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Gènes, Synapses et Cognition (CNRS - UMR3571 ), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), F. Hoffmann-La Roche [Basel], Center for neuroscience-University of California [Davis] (UC Davis), University of California (UC)-University of California (UC), Institut Pasteur [Paris]-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Animal Ecology, and Sub Animal Ecology

Subjects
Predictive validity, [SDV]Life Sciences [q-bio], Neuropsychological Tests, Developmental psychology, 03 medical and health sciences, Mice, 0302 clinical medicine, Cognition, Behavioural testing, mental disorders, medicine, Genetics, Animals, Humans, Ultrasonics, Behaviour, Animal model, Social Behavior, Food Dispensers, Automatic, 030304 developmental biology, Pharmacology, 0303 health sciences, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Social communication, Construct validity, medicine.disease, Social relation, Rats, Disease Models, Animal, Phenotype, International (English), Child Development Disorders, Pervasive, Models, Animal, Anxiety, Autism, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], medicine.symptom, Stereotyped Behavior, Vocalization, Animal, Psychology, Cognition Disorders, 030217 neurology & neurosurgery, Cognitive psychology
Abstract

Item does not contain fulltext The establishment of robust and replicable behavioural testing paradigms with translational value for psychiatric diseases is a major step forward in developing and testing etiology-directed treatment for these complex disorders. Based on the existing literature, we have generated an inventory of applied rodent behavioural testing paradigms relevant to autism spectrum disorders (ASD). This inventory focused on previously used paradigms that assess behavioural domains that are affected in ASD, such as social interaction, social communication, repetitive behaviours and behavioural inflexibility, cognition as well as anxiety behaviour. A wide range of behavioural testing paradigms for rodents were identified. However, the level of face and construct validity is highly variable. The predictive validity of these paradigms is unknown, as etiology-directed treatments for ASD are currently not on the market. To optimise these studies, future efforts should address aspects of reproducibility and take into account data about the neurodevelopmental underpinnings and trajectory of ASD. In addition, with the increasing knowledge of processes underlying ASD, such as sensory information processes and synaptic plasticity, phenotyping efforts should include multi-level automated analysis of, for example, representative task-related behavioural and electrophysiological read-outs.

Published
2014

6. Automated video tracking of thrips behavior to assess host-plant resistance in multiple parallel two-choice setups.

Author

Thoen MP, Kloth KJ, Wiegers GL, Krips OE, Noldus LP, Dicke M, and Jongsma MA

Abstract

Background: Piercing-sucking insects cause severe damage in crops. Breeding for host-plant resistance can significantly reduce the yield losses caused by these insects, but host-plant resistance is a complex trait that is difficult to phenotype quickly and reliably. Current phenotyping methods mainly focus on labor-intensive and time-consuming end-point measurements of plant fitness. Characterizing insect behavior as a proxy for host-plant resistance could be a promising time-saving alternative to end-point measurements., Results: We present a phenotyping platform that allows screening for host-plant resistance against Western flower thrips (WFT, Frankliniella occidentalis (Pergande)) in a parallel two-choice setup using automated video tracking of thrips behavior. The platform was used to establish host-plant preference of WFT with a large plant population of 345 wild Arabidopsis accessions and the method was optimized with two extreme accessions from this population that differed in resistance towards WFT. To this end, the behavior of 88 WFT individuals was simultaneously tracked in 88 parallel two-choice arenas during 8 h. Host-plant preference of WFT was established both by the time thrips spent on either accession and various behavioral parameters related to movement (searching) and non-movement (feeding) events., Conclusion: In comparison to 6-day end-point choice assays with whole plants or detached leaves, the automated video-tracking choice assay developed here delivered similar results, but with higher time- and resource efficiency. This method can therefore be a reliable and effective high throughput phenotyping tool to assess host-plant resistance to thrips in large plant populations.

Published
2016
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7. EthoVision: a versatile video tracking system for automation of behavioral experiments.

Author

Noldus LP, Spink AJ, and Tegelenbosch RA

Subjects
Animals, Image Processing, Computer-Assisted, Software, Behavior, Animal, Behavioral Sciences instrumentation, Computing Methodologies, Observation, Videotape Recording
Abstract

The need for automating behavioral observations and the evolution of systems developed for that purpose is outlined. Video tracking systems enable researchers to study behavior in a reliable and consistent way and over longer time periods than if they were using manual recording. To overcome limitations of currently available systems, we have designed EthoVision, an integrated system for automatic recording of activity, movement, and interactions of animals. The EthoVision software is presented, highlighting some key features that separate EthoVision from other systems: easy file management, independent variable definition, flexible arena and zone design, several methods of data acquisition allowing identification and tracking of multiple animals in multiple arenas, and tools for visualization of the tracks and calculation of a range of analysis parameters. A review of studies using EthoVision is presented, demonstrating the system's use in a wide variety of applications. Possible future directions for development are discussed.

Published
2001
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8. The EthoVision video tracking system--a tool for behavioral phenotyping of transgenic mice.

Author

Spink AJ, Tegelenbosch RA, Buma MO, and Noldus LP

Subjects
Activating Transcription Factor 1, Aggression physiology, Analog-Digital Conversion, Animals, Arousal genetics, Equipment Design, Exploratory Behavior physiology, Genetics, Behavioral instrumentation, Image Processing, Computer-Assisted, Maze Learning physiology, Membrane Glycoproteins genetics, Mice, Munc18 Proteins, Nerve Tissue Proteins genetics, Selection, Genetic, Transcription Factors genetics, Behavior, Animal physiology, DNA-Binding Proteins, Mice, Transgenic physiology, Phenotype, Protein-Tyrosine Kinases, Vesicular Transport Proteins, Video Recording instrumentation
Abstract

Video tracking systems enable behavior to be studied in a reliable and consistent way, and over longer time periods than if they are manually recorded. The system takes an analog video signal, digitizes each frame, and analyses the resultant pixels to determine the location of the tracked animals (as well as other data). Calculations are performed on a series of frames to derive a set of quantitative descriptors of the animal's movement. EthoVision (from Noldus Information Technology) is a specific example of such a system, and its functionality that is particularly relevant to transgenic mice studies is described. Key practical aspects of using the EthoVision system are also outlined, including tips about lighting, marking animals, the arena size, and sample rate. Four case studies are presented, illustrating various aspects of the system: (1) The effects of disabling the Munc 18-1 gene were clearly shown using the straightforward measure of how long the mice took to enter a zone in an open field. (2) Differences in exploratory behavior between short and long attack latency mice strains were quantified by measuring the time spent in inner and outer zones of an open field. (3) Mice with hypomorphic CREB alleles were shown to perform less well in a water maze, but this was only clear when a range of different variables were calculated from their tracks. (4) Mice with the trkB receptor knocked out in the forebrain also performed poorly in a water maze, and it was immediately apparent from examining plots of the tracks that this was due to thigmotaxis. Some of the latest technological developments and possible future directions for video tracking systems are briefly discussed.

Published
2001
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