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Light-Addressing and Chemical Imaging Technologies for Electrochemical Sensing
| Light-Addressing and Chemical Imaging Technologies for Electrochemical Sensing |
| Autore | Yoshinobu Tatsuo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (122 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
CCD ion sensor
multi-ion image CMOS technology ink-jet printing bioactive cations LAPS chemical imaging spatial and temporal resolution semiconductor microfluidics photoelectrochemistry InGaN/GaN epilayer cell imaging light-activated electrochemistry light-addressable potentiometric sensor chemical imaging sensor field-effect sensor light-addressable potentiometric sensor (LAPS) Lactobacillus brevis Escherichia coli Corynebacterium glutamicum cellular metabolism differential cell-based measurement multi-analyte analysis extracellular acidification DNA biosensor ZnO nanorod arrays label-free detection E. coli light-addressable electrode light-addressable cell stimulation and photoelectrochemistry photoelectrochemical deposition crevice corrosion potential distribution crevice gap |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557686403321 |
Yoshinobu Tatsuo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The Future of Hyperspectral Imaging
| The Future of Hyperspectral Imaging |
| Autore | Selci Stefano |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (220 p.) |
| Soggetto non controllato |
information theoretic analysis
multiplexing system HSI for biology point target detection digital elevation model neural networks oxygen saturation black polymers PZT blood detection multivariate analysis integral imaging hemispherical conical reflectance factor (HCRF) sprouting fluorescence multitemporal hyperspectral images plant phenotyping hyperspectral data mining and compression Raman medical imaging by HSI compressive detection stereo imaging image processing wound healing quality control lossless compression infrared hyperspectral imaging spectral tracking time series remote sensing diabetic foot ulcer classification Raman spectroscopy imaging fingerprints fusion wavelength selection Cramer–Rao lower bound three-dimensional imaging chemical imaging CS-MUSI total variation coastal dynamics forward observation model hyperspectral imaging fluorescence hyperspectral imaging age determination potatoes painting samples predictive coding hyperspectral video bi-directional reflectance distribution function (BRDF) optimal binary filters watercolours deep learning spectroscopy moving vehicle imaging sorting maximum likelihood multivariate data analysis interval partial least squares disease detection Raman hyperspectral imaging primordial leaf count machine learning spatial light modulators (SLM) Virginia Coast Reserve Long Term Ecological Research (VCR LTER) digital micromirror device (DMD) hyperspectral microscopy alternating direction method of multipliers statistical methods for HSI multiband image fusion digital light processor (DLP) linear mixture model retouching pigments liquid crystal principal component analysis Chemometrics compressive sensing PLSR Hyperspectral imaging |
| ISBN | 3-03921-823-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367743103321 |
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Selci Stefano
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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