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Enregistrement W2126456776 · doi:10.1002/jmr.974

Second international <i>AFM BioMed Conference</i> on AFM in life sciences and medicine, 16–18 October 2008, Monterey, CA, USA

2009· editorial· en· W2126456776 sur OpenAlex

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no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
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Notice bibliographique

RevueJournal of Molecular Recognition · 2009
Typeeditorial
Langueen
DomainePhysics and Astronomy
ThématiqueForce Microscopy Techniques and Applications
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEnthusiasmAtomic force microscopySession (web analytics)Library scienceNanotechnologyEngineeringPsychologyComputer scienceMaterials science

Résumé

récupéré en direct d'OpenAlex

Founded in June 2006, AFM BioMed organized its first international conference from 19 to 21 April 2007 in Barcelona (Pellequer et al., 2007). Hosted by Universitat de Barcelona, IBEC1 and the CEA,2 this event welcomed approximately 220 scientists from 24 countries reflecting the strong and rapidly growing enthusiasm for the use of AFM in the life sciences and medicine (Parot et al., 2007). The second edition, held at the Hyatt Regency in Monterey, California, from 16 to 18 October 2008, was hosted by QB33 and CEA with an organizing committee of Sanjay Kumar (Chairman: UC, Berkeley), Pierre Parot and Jean-Luc Pellequer (Co-organizers: CEA Marcoule). Conferences like these are simply not possible without extensive financial and logistical support, and Veeco Instruments, Hamamatsu, Microscopy and Analysis, Leica Microsystems and nPoint offered generous sponsorship to help cover both scientific and social events. Approximately 150 scientists from 16 countries attended the Monterey edition of AFM BioMed which was organized into five full-length oral sessions, two poster sessions and an evening session featuring short oral presentations of a few particularly outstanding posters. In addition to these sessions, a workshop was held the day before the conference that included lectures and demonstrations covering various applications of AFM in the life sciences ranging from single molecules to living cells. Examples included AFM imaging and force spectroscopy of biomolecules and cells, mechanical characterization of biological materials and micromanipulation. The first oral session, New AFM-Based Instrumentation for Biology and Medicine, was chaired by Daniel Fletcher (University of California, Berkeley, USA) and covered novel force microscopy techniques, combined AFM-optical microscopy systems and advanced probes. The second session, Biomolecular Force Spectroscopy, was chaired by Christopher Yip (University of Toronto, Canada) and covered single-molecule force spectroscopy, mechanical unfolding, simulation and analysis of single molecule unfolding and refolding and measurement of protein–protein and protein–surface interactions, including adhesive and receptor–ligand binding forces. The third session, AFM of Biomaterial Surfaces, was chaired by Greg Haugstad (University of Minnesota, USA) and covered imaging and chemical/mechanical characterization of biomaterial surfaces (particularly in the context of coating, adsorption and modification) and the interface of synthetic materials with biological tissues. The fourth session, AFM of Cells, was chaired by Michel Grandbois (Université de Sherbrooke, Canada) and covered the force spectroscopy, adhesion, imaging, mechanics and mechanotransduction and manipulation of living cells. The final session, Biomolecular Imaging, was chaired by Simon Scheuring (Institut Curie, France) and covered high-resolution AFM imaging of biomolecules, biomembranes, cells and biomedical nanostructures. This special issue of JMR is dedicated to showcasing full-length papers based on some of the especially superb presentations made at the meeting. To pick just a few examples, Strauss and colleagues use AFM to comparatively characterize the structure and force spectroscopy of the lipopolysaccharide (LPS) layer across several E. coli strains and show that the length of the LPS layer correlates with adhesion to the AFM tip, which may lend insights into the earliest steps of infection. Jungbauer and colleagues creatively use AFM imaging to validate new strategies for fluorescently labelling Aβ amyloid fibrils, thereby creating new reagents for studying cellular and molecular mechanisms of Alzheimer's disease. Calderon and colleagues develop an elegant modelling framework with which to extract information about intramolecular frictional interactions from single-molecule unfolding experiments. We are excited to report that there will be a third edition of AFM BioMed, with the meeting once again returning to Europe. The next AFM BioMed conference will be held from 10 to 15 May 2010, in Red Island (Roving, Croatia) and will be chaired by Professor Vesna Svetličić from the Ruđer Bošković Institute at Zagreb, Croatia. We are confident that you will enjoy this special issue of JMR, and we hope to see you in Red Island!

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,292
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,020
Tête enseignante GPT0,319
Écart entre enseignants0,298 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle