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Lab-on-PCB devices can be considered an emerging technology. In fact, most of the contributions have been published during the last 5 years. It is mainly focussed on both biomedical and electronic applications. The book includes an interesting guide for using the different layers of the Printed Circuit Boards for developing new devices; guidelines for fabricating PCB-based electrochemical biosensors, and an overview of fluid manipulation devices fabricated using Printed Circuit Boards. In addition, current PCB-based devices are reported, and studies for several aspects of research and development of lab-on-PCB devices are described.

Technology: general issues --- History of engineering & technology --- lab-on-PCB --- microfluidics --- flow driving --- actuators --- biomedical applications --- MEA --- brain cells --- electrical recordings --- Organ-on-Chip --- Brain-on-Chip --- printed circuit boards --- electrochemical biosensors --- Lab-on-PCB --- electrode pre-treatment --- electrophoresis --- agarose --- PCB technology --- DNA amplification --- RPA --- microheaters --- E. coli --- molecular diagnostics --- printed circuit board --- organotypic culture --- microchip electrophoresis --- stray capacitance --- capacitively coupled contactless conductivity detection --- planar grounded electrode --- Printed Circuit Board (PCB) --- biomedical --- electronic --- engineering --- PCB --- rapid prototyping --- 3D printing --- PCB-MEMS --- PCB reliability --- embedded components --- finite element analysis --- thermal analysis --- electronics --- sensors --- biosensors --- lab-on-chip

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Because of the accelerating progress in biometrics research and the latest nation-state threats to security, this book's publication is not only timely but also much needed. This volume contains seventeen peer-reviewed chapters reporting the state of the art in biometrics research: security issues, signature verification, fingerprint identification, wrist vascular biometrics, ear detection, face detection and identification (including a new survey of face recognition), person re-identification, electrocardiogram (ECT) recognition, and several multi-modal systems. This book will be a valuable resource for graduate students, engineers, and researchers interested in understanding and investigating this important field of study.

Technology: general issues --- online signature verification --- shape contexts --- function features --- SC-DTW --- symbolic representation --- two-stage method --- finger features --- multimodal recognition --- local coding --- Gabor filter --- LGS --- human identification --- biomarker --- ECG --- machine learning --- Physionet --- Lviv Biometric Dataset --- biometry --- identification --- bloodstream --- image recognition --- multi-biometrics --- bit planes --- block --- mutual information --- cross-device --- dorsal hand vein recognition --- person re-identification --- superpixel --- temporally aligned pooling --- walking cycle --- automatic recognition --- face --- voice --- body motion --- autism spectrum disorder (ASD) --- assessment --- intervention --- curve similarity --- curve similarity model --- curve similarity transformation --- similarity distance --- segmentation matching --- evolutionary computation --- finger vein recognition --- hand vein recognition --- contactless acquisition device --- public vascular pattern dataset --- biometric recognition performance evaluation --- face verification --- optical correlation --- Hausdorff distance --- image classification --- face detection --- depth map ensemble --- filtering --- geometric deep learning --- ear detection --- structured prediction --- semantic segmentation --- rotation equivariance --- Gaussian mixture model --- superpixels --- face recognition systems --- person identification --- biometric systems --- survey --- automatic signature verification --- touch-screen sensor --- data quality --- enrollment phase --- performance assessment --- augmented signature --- security enhancement --- mobile conditions --- biometric recognition --- visible light iris images --- image quality assessment --- image covariates --- quality filtering --- vascular biometric recognition --- wrist vein recognition --- contactless dataset --- pattern recognition --- infrared camera --- non-contact devices --- Scale-Invariant Feature Transform (SIFT®) --- Speeded Up Robust Features (SURF®) --- Oriented FAST and Rotated BRIEF (ORB) --- fingerprint --- presentation attack detection --- deep learning --- online signature verification --- shape contexts --- function features --- SC-DTW --- symbolic representation --- two-stage method --- finger features --- multimodal recognition --- local coding --- Gabor filter --- LGS --- human identification --- biomarker --- ECG --- machine learning --- Physionet --- Lviv Biometric Dataset --- biometry --- identification --- bloodstream --- image recognition --- multi-biometrics --- bit planes --- block --- mutual information --- cross-device --- dorsal hand vein recognition --- person re-identification --- superpixel --- temporally aligned pooling --- walking cycle --- automatic recognition --- face --- voice --- body motion --- autism spectrum disorder (ASD) --- assessment --- intervention --- curve similarity --- curve similarity model --- curve similarity transformation --- similarity distance --- segmentation matching --- evolutionary computation --- finger vein recognition --- hand vein recognition --- contactless acquisition device --- public vascular pattern dataset --- biometric recognition performance evaluation --- face verification --- optical correlation --- Hausdorff distance --- image classification --- face detection --- depth map ensemble --- filtering --- geometric deep learning --- ear detection --- structured prediction --- semantic segmentation --- rotation equivariance --- Gaussian mixture model --- superpixels --- face recognition systems --- person identification --- biometric systems --- survey --- automatic signature verification --- touch-screen sensor --- data quality --- enrollment phase --- performance assessment --- augmented signature --- security enhancement --- mobile conditions --- biometric recognition --- visible light iris images --- image quality assessment --- image covariates --- quality filtering --- vascular biometric recognition --- wrist vein recognition --- contactless dataset --- pattern recognition --- infrared camera --- non-contact devices --- Scale-Invariant Feature Transform (SIFT®) --- Speeded Up Robust Features (SURF®) --- Oriented FAST and Rotated BRIEF (ORB) --- fingerprint --- presentation attack detection --- deep learning

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Because of the accelerating progress in biometrics research and the latest nation-state threats to security, this book's publication is not only timely but also much needed. This volume contains seventeen peer-reviewed chapters reporting the state of the art in biometrics research: security issues, signature verification, fingerprint identification, wrist vascular biometrics, ear detection, face detection and identification (including a new survey of face recognition), person re-identification, electrocardiogram (ECT) recognition, and several multi-modal systems. This book will be a valuable resource for graduate students, engineers, and researchers interested in understanding and investigating this important field of study.

online signature verification --- shape contexts --- function features --- SC-DTW --- symbolic representation --- two-stage method --- finger features --- multimodal recognition --- local coding --- Gabor filter --- LGS --- human identification --- biomarker --- ECG --- machine learning --- Physionet --- Lviv Biometric Dataset --- biometry --- identification --- bloodstream --- image recognition --- multi-biometrics --- bit planes --- block --- mutual information --- cross-device --- dorsal hand vein recognition --- person re-identification --- superpixel --- temporally aligned pooling --- walking cycle --- automatic recognition --- face --- voice --- body motion --- autism spectrum disorder (ASD) --- assessment --- intervention --- curve similarity --- curve similarity model --- curve similarity transformation --- similarity distance --- segmentation matching --- evolutionary computation --- finger vein recognition --- hand vein recognition --- contactless acquisition device --- public vascular pattern dataset --- biometric recognition performance evaluation --- face verification --- optical correlation --- Hausdorff distance --- image classification --- face detection --- depth map ensemble --- filtering --- geometric deep learning --- ear detection --- structured prediction --- semantic segmentation --- rotation equivariance --- Gaussian mixture model --- superpixels --- face recognition systems --- person identification --- biometric systems --- survey --- automatic signature verification --- touch-screen sensor --- data quality --- enrollment phase --- performance assessment --- augmented signature --- security enhancement --- mobile conditions --- biometric recognition --- visible light iris images --- image quality assessment --- image covariates --- quality filtering --- vascular biometric recognition --- wrist vein recognition --- contactless dataset --- pattern recognition --- infrared camera --- non-contact devices --- Scale-Invariant Feature Transform (SIFT®) --- Speeded Up Robust Features (SURF®) --- Oriented FAST and Rotated BRIEF (ORB) --- fingerprint --- presentation attack detection --- deep learning

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Microfluidics-based devices play an important role in creating realistic microenvironments in which cell cultures can thrive. They can, for example, be used to monitor drug toxicity and perform medical diagnostics, and be in a static-, perfusion- or droplet-based device. They can also be used to study cell-cell, cell-matrix or cell-surface interactions. Cells can be either single cells, 3D cell cultures or co-cultures. Other organisms could include bacteria, zebra fish embryo, C. elegans, to name a few.

n/a --- screening --- microfluidic device --- cell homogenous dispersion structure --- RNA --- biomedical engineering --- neural networks --- single-cell mechanics --- on-chip cell incubator --- cell growth --- embryogenesis --- cancer stem cell --- intracellular proteins --- simultaneous multiple chamber observation --- instrumentation --- fnRBC --- cancer metastasis --- Wheatstone bridge --- capillary --- single-cell manipulation --- adherent cells --- nucleic acid --- micropipette aspiration --- sample preparation --- unsupervised learning --- cell motility --- capture efficiency --- bacterial concentration --- cbNIPD --- microfabrication --- drug resistance --- variational inference --- microfluidics --- periodic hydrostatic pressure --- paracrine signaling --- periodic pressure --- capacitively coupled contactless conductivity detection (C4D) --- bioMEMS --- microfluidic flow cytometry --- particle/cell imaging --- co-culture --- cells-in-gels-in-paper --- laminar flows --- E. coli --- printed-circuit-board (PCB) --- pneumatic microvalve --- time-lapse observation --- nanostructure --- 3D particle focusing --- target cell-specific binding molecules --- absolute quantification --- DNA --- zebrafish embryo --- microscopy --- 3D printing --- 3D flow focusing --- single-cell analysis

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The monitoring of indoor air pollutants in a spatio-temporal basis is challenging. A key element is the access to local (i.e., indoor residential, workplace, or public building) exposure measurements. Unfortunately, the high cost and complexity of most current air pollutant monitors result in a lack of detailed spatial and temporal resolution. As a result, individuals in vulnerable groups (children, pregnant, elderly, and sick people) have little insight into their personal exposure levels. This becomes significant in cases of hyper-local variations and short-term pollution events such as instant indoor activity (e.g., cooking, smoking, and dust resuspension). Advances in sensor miniaturization have encouraged the development of small, inexpensive devices capable of estimating pollutant concentrations. This new class of sensors presents new possibilities for indoor exposure monitoring. This Special Issue invites research in the areas of the triptych: indoor air pollution monitoring, indoor air modeling, and exposure to indoor air pollution. Topics of interest for the Special Issue include, but are not limited to, the following: low-cost sensors for indoor air monitoring; indoor particulate matter and volatile organic compounds; ozone-terpene chemistry; biological agents indoors; source apportionment; exposure assessment; health effects of indoor air pollutants; occupant perception; climate change impacts on indoor air quality.

perceived indoor air quality --- building research --- indoor air questionnaires --- psychosocial work environment --- categorisation --- ventilation --- mould --- moisture --- man-made mineral fibres --- IAQ --- enhanced living environments --- IEQ --- IoT --- smart cities --- LEC --- passive space design --- tubular space --- physical building environment --- fieldwork test --- subway station building complex --- thermal comfort --- arousal level --- physiological indices --- electroencephalography --- electrocardiography --- airborne microorganisms --- bacteria --- fungi --- gyms --- indoor air quality --- libraries --- offices --- contactless measurements --- skin sensitivity index --- subtleness magnification --- deep learning --- piecewise stationary time series --- PM2.5 --- sensor --- correction --- pan frying --- secondhand smoke --- urban traffic --- allergens --- endotoxin --- biological agents --- laboratory animal allergy --- environmental monitoring --- occupational exposure --- perceived comfort --- sick building syndrome --- health effects --- internet of things --- e-nose --- smart home --- ESP32 --- teenagers --- children --- bedroom --- CO2 --- particulate matter --- perception --- response behavior --- psychological attribute --- indoor environment quality --- PPD --- TVOC --- BREEAM assessment --- occupant satisfaction --- children’s house --- industrial city --- window opening --- cooking --- STAMP --- STPA --- physical process --- indoor environment safety --- smart home systems --- IAQ improvement --- photo-paint --- NO --- Toluene degradation  --- n/a --- children's house