Artificial Intelligence in Label-Free Microscopy: Biological Cell Classification by Time Stretch, Mahjoubfar Ata, Chen Claire Lifan, Jalali Bahram

Автор: Nikola K. Kasabov
Название: Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence
ISBN: 3662577135 ISBN-13(EAN): 9783662577134
Издательство: Springer
Рейтинг:
Цена: 260870.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.

Автор: Ata Mahjoubfar; Claire Lifan Chen; Bahram Jalali
Название: Artificial Intelligence in Label-free Microscopy
ISBN: 3319514474 ISBN-13(EAN): 9783319514475
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces time-stretch quantitative phase imaging (TS-QPI), a high-throughput label-free imaging flow cytometer developed for big data acquisition and analysis in phenotypic screening.

Автор: Vasily Astratov
Название: Label-Free Super-Resolution Microscopy
ISBN: 3030217213 ISBN-13(EAN): 9783030217211
Издательство: Springer
Рейтинг:
Цена: 121110.00 T
Наличие на складе: Невозможна поставка.
Описание: This book presents the advances in super-resolution microscopy in physics and biomedical optics for nanoscale imaging. In the last decade, super-resolved fluorescence imaging has opened new horizons in improving the resolution of optical microscopes far beyond the classical diffraction limit, leading to the Nobel Prize in Chemistry in 2014. This book represents the first comprehensive review of a different type of super-resolved microscopy, which does not rely on using fluorescent markers. Such label-free super-resolution microscopy enables potentially even broader applications in life sciences and nanoscale imaging, but is much more challenging and it is based on different physical concepts and approaches. A unique feature of this book is that it combines insights into mechanisms of label-free super-resolution with a vast range of applications from fast imaging of living cells to inorganic nanostructures. This book can be used by researchers in biological and medical physics. Due to its logically organizational structure, it can be also used as a teaching tool in graduate and upper-division undergraduate-level courses devoted to super-resolved microscopy, nanoscale imaging, microscopy instrumentation, and biomedical imaging.

Автор: Michael J. Sch?ning; Arshak Poghossian
Название: Label-Free Biosensing
ISBN: 3030091732 ISBN-13(EAN): 9783030091736
Издательство: Springer
Рейтинг:
Цена: 354040.00 T
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

Автор: Sch?ning
Название: Label-Free Biosensing
ISBN: 3319752197 ISBN-13(EAN): 9783319752198
Издательство: Springer
Рейтинг:
Цена: 354040.00 T
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

Автор: Nikola K. Kasabov
Название: Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence
ISBN: 366258607X ISBN-13(EAN): 9783662586075
Издательство: Springer
Рейтинг:
Цена: 260870.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.