Label-Free Monitoring of Cells in vitro, Joachim Wegener
Автор: LaBelle James W. , Treumann Rudolf A. Название: Geospace Electromagnetic Waves and Radiation ISBN: 3540300503 ISBN-13(EAN): 9783540300502 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The contributions gathered in this volume provide introductions to current problems in geospace electromagnetic radiation, guides to the associated literature and tutorial reviews of the relevant space physics.Students and scientists working on various aspects of the terrestrial aurora or magnetospheric and near-Earth heliospheric high-frequency waves will find this volume an indispensable companion for their studies.
Автор: Henning Jacob Jessen Название: Phosphate Labeling and Sensing in Chemical Biology ISBN: 3319603566 ISBN-13(EAN): 9783319603568 Издательство: Springer Рейтинг: Цена: 34937.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The series Topics in Current Chemistry Collections presents critical reviews from the journal Topics in Current Chemistry organized in topical volumes.
Автор: Massih-Reza Amini; Nicolas Usunier Название: Learning with Partially Labeled and Interdependent Data ISBN: 331935390X ISBN-13(EAN): 9783319353906 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book develops two key machine learning principles: the semi-supervised paradigm and learning with interdependent data.
This thesis describes novel substrate embedded physical sensors that can be used to monitor different types of cell-based assays non-invasively and label-free. The sensors described provide integrative information of the cells under study with an adaptable time resolution (ranging from milliseconds to days). This information about the dynamic cell response to chemical, physical or biological stimuli defines a new paradigm in fundamental biomedical research.
The author, Maximilian Oberleitner, describes approaches in which the cells are directly grown on different sensor surfaces (gold-film electrodes, shear wave resonators or dye-doped polymer films). This approach, with the reacting cells in particularly close proximity and contact with the sensor surface, is key to a remarkable sensitivity, opening the way for a variety of new applications. This thesis not only introduces the fundamentals of each approach, but it also describes in great detail the design
principles and elucidates the boundary conditions of the new sensors.
Описание: Introduction.- Objectives.- Methods & Instrumentation.- MQCM: Multiple Cytomechanic Sensing.- QCM-ECIS: Combined Viscoelastic and Dielectric Sensing of Cells.- QCM-OCS: Optochemical Sensing of Temperature and pO2 in the Cell Surface Junction.- Summary.- Appendix.
Автор: Sch?ning Название: Label-Free Biosensing ISBN: 3319752197 ISBN-13(EAN): 9783319752198 Издательство: Springer Рейтинг: Цена: 53106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This volume summarizes the state-of-the-art technologies, key advances and future trends in the field of label-free biosensing. It provides detailed insights into the different types of solid-state, label-free biosensors, their underlying transducer principles, advanced materials utilized, device-fabrication techniques and various applications. The book offers graduate students, academic researchers, and industry professionals a comprehensive source of information on all facets of label-free biosensing and the future trends in this flourishing field.
Highlights of the subjects covered include label-free biosensing with:
- semiconductor field-effect devices such as nanomaterial-modified capacitive electrolyte-insulator-semiconductor structures, silicon nanowire transistors, III-nitride semiconductor devices and light-addressable potentiometric sensors
- impedimetric biosensors using planar and 3D electrodes
- nanocavity and solid-state nanopore devices
- carbon nanotube and graphene/graphene oxide biosensors
- electrochemical biosensors using molecularly imprinted polymers
- biomimetic sensors based on acoustic signal transduction
- enzyme logic systems and digital biosensors based on the biocomputing concept
- magnetic biosensors and magnetic imaging devices
Автор: Michael J. Sch?ning; Arshak Poghossian Название: Label-Free Biosensing ISBN: 3030091732 ISBN-13(EAN): 9783030091736 Издательство: Springer Рейтинг: Цена: 53106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume summarizes the state-of-the-art technologies, key advances and future trends in the field of label-free biosensing. It provides detailed insights into the different types of solid-state, label-free biosensors, their underlying transducer principles, advanced materials utilized, device-fabrication techniques and various applications. The book offers graduate students, academic researchers, and industry professionals a comprehensive source of information on all facets of label-free biosensing and the future trends in this flourishing field. Highlights of the subjects covered include label-free biosensing with:· semiconductor field-effect devices such as nanomaterial-modified capacitive electrolyte-insulator-semiconductor structures, silicon nanowire transistors, III-nitride semiconductor devices and light-addressable potentiometric sensors· impedimetric biosensors using planar and 3D electrodes· nanocavity and solid-state nanopore devices · carbon nanotube and graphene/graphene oxide biosensors· electrochemical biosensors using molecularly imprinted polymers· biomimetic sensors based on acoustic signal transduction· enzyme logic systems and digital biosensors based on the biocomputing concept· heat-transfer as a novel transducer principle· ultrasensitive surface plasmon resonance biosensors · magnetic biosensors and magnetic imaging devices
4th International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (LABELS 2019).- Comparison of active learning strategies applied to lung nodule segmentation in CT scans.- Robust Registration of Statistical Shape Models for Unsupervised Pathology Annotation.- XiangyaDerm: A Clinical Image Dataset of Asian Race for Skin Disease Aided Diagnosis.- Data Augmentation based on Substituting Regional MRI Volume Scores.- Weakly supervised segmentation from extreme points.- Exploring the Relationship between Segmentation Uncertainty, Segmentation Performance and Inter-observer Variability with Probabilistic Networks.- DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs.- The Role of Publicly Available Data in MICCAI Papers from 2014 to 2018.- First International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention (HAL-MICCAI 2019).- Hardware Acceleration of Persistent Homology Computation.- Deep Compressed Pneumonia Detection for Low-Power Embedded Devices.- D3MC: A Reinforcement Learning based Data-driven Dyna Model Compression.- An Analytical Method of Automatic Alignment for Electron Tomography.- Fixed-Point U-Net Quantization for Medical Image Segmentation.- Second International Workshop on Correction of Brainshift with Intra-Operative Ultrasound (CuRIOUS 2019).- Registration of ultrasound volumes based on Euclidean distance transform.- Landmark-based evaluation of a block-matching registration framework on the RESECT pre- and intra-operative brain image data set.- Comparing deep learning strategies and attention mechanisms of discrete registration for multimodal image-guided interventions.
This book constitutes the refereed joint proceedings of the 6th Joint International Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2017, and the Second International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Quebec City, QC, Canada, in September 2017.
The 6 full papers presented at CVII-STENT 2017 and the 11 full papers presented at LABELS 2017 were carefully reviewed and selected. The CVII-STENT papers feature the state of the art in imaging, treatment, and computer-assisted intervention in the field of endovascular interventions. The LABELS papers present a variety of approaches for dealing with few labels, from transfer learning to crowdsourcing.
Описание: This book constitutes the refereed joint proceedings of the 7th Joint International Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2018, and the Third International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2018, held in conjunction with the 21th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 9 full papers presented at CVII-STENT 2017 and the 12 full papers presented at LABELS 2017 were carefully reviewed and selected. The CVII-STENT papers feature the state of the art in imaging, treatment, and computer-assisted intervention in the field of endovascular interventions. The LABELS papers present a variety of approaches for dealing with few labels, from transfer learning to crowdsourcing.
This book presents novel classification algorithms for four challenging prediction tasks, namely learning from imbalanced, semi-supervised, multi-instance and multi-label data. The methods are based on fuzzy rough set theory, a mathematical framework used to model uncertainty in data. The book makes two main contributions: helping readers gain a deeper understanding of the underlying mathematical theory; and developing new, intuitive and well-performing classification approaches. The authors bridge the gap between the theoretical proposals of the mathematical model and important challenges in machine learning.
The intended readership of this book includes anyone interested in learning more about fuzzy rough set theory and how to use it in practical machine learning contexts. Although the core audience chiefly consists of mathematicians, computer scientists and engineers, the content will also be interesting and accessible to students and professionals from a range of other fields.
Автор: Zvi Kelman Название: Isotope Labeling of Biomolecules - Labeling Methods,565 ISBN: 0128030488 ISBN-13(EAN): 9780128030486 Издательство: Elsevier Science Рейтинг: Цена: 23244.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Isotope Labeling of Biomolecules – Labeling Methods, the latest volume of the Methods in Enzymology series contains comprehensive information on stable isotope labeling methods and applications for biomolecules.
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