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Review of spectral imaging technology in biomedical engineering: achievements and challenges

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TLDR
This review introduces the basics of spectral imaging, imaging methods, current equipment, and recent advances in biomedical applications and highlights the benefits and development trends of biomedical spectral imaging.
Abstract
Spectral imaging is a technology that integrates conventional imaging and spectroscopy to get both spatial and spectral information from an object. Although this technology was originally developed for remote sensing, it has been extended to the biomedical engineering field as a powerful analytical tool for biological and biomedical research. This review introduces the basics of spectral imaging, imaging methods, current equipment, and recent advances in biomedical applications. The performance and analytical capabilities of spectral imaging systems for biological and biomedical imaging are discussed. In particular, the current achievements and limitations of this technology in biomedical engineering are presented. The benefits and development trends of biomedical spectral imaging are highlighted to provide the reader with an insight into the current technological advances and its potential for biomedical research.

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Smartphone Sensors for Health Monitoring and Diagnosis.

TL;DR: A comprehensive review of the state-of-the-art research and developments in smartphone-sensor based healthcare technologies is presented and a discussion on regulatory policies for medical devices and their implications in smartphones-based healthcare systems is presented.
Journal ArticleDOI

In-Vivo and Ex-Vivo Tissue Analysis through Hyperspectral Imaging Techniques: Revealing the Invisible Features of Cancer.

TL;DR: In this review, the use of HSI as an imaging tool for the analysis and detection of cancer is presented, the basic concepts related to this technology are detailed, and the most relevant, state-of-the-art studies that can be found in the literature using HSI for cancer analysis are presented and summarized.
Proceedings ArticleDOI

Towards Virtual H&E Staining of Hyperspectral Lung Histology Images Using Conditional Generative Adversarial Networks

TL;DR: A method to virtually stain unstained Hematoxylin and eosin (H&E) specimens using dimension reduction and conditional adversarial generative networks (cGANs) which build highly non-linear mappings between input and output images.
Journal ArticleDOI

Deep learning-based framework for In Vivo identification of glioblastoma tumor using hyperspectral images of human brain

TL;DR: A deep learning-based framework for processing hyperspectral images of in vivo human brain tissue is presented and an aid visualization system is presented, where the final thematic map can be adjusted by the operating surgeon to find the optimal classification threshold for the current situation during the surgical procedure.
Journal ArticleDOI

Crop reflectance monitoring as a tool for water stress detection in greenhouses: A review

TL;DR: In this article, the most practical and effective indices are those based on ground reflectance sensors data which are evaluated in terms of their efficiency in detecting plant water status under greenhouse conditions.
References
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Journal ArticleDOI

Deep tissue two-photon microscopy

TL;DR: Fundamental concepts of nonlinear microscopy are reviewed and conditions relevant for achieving large imaging depths in intact tissue are discussed.
Journal ArticleDOI

Multicolor Spectral Karyotyping of Human Chromosomes

TL;DR: Whole-genome scanning by spectral karyotyping allowed instantaneous visualization of defined emission spectra for each human chromosome after fluorescence in situ hybridization, and all human chromosomes were simultaneously identified.
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Imaging Spectrometry for Earth Remote Sensing

TL;DR: The initial results show that remote, direct identification of surface materials on a picture-element basis can be accomplished by proper sampling of absorption features in the reflectance spectrum.
Journal ArticleDOI

Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system

TL;DR: Strategies to visualize synaptic circuits by genetically labelling neurons with multiple, distinct colours are presented and may facilitate the analysis of neuronal circuitry on a large scale.
Journal ArticleDOI

Histopathological Image Analysis: A Review

TL;DR: The recent state of the art CAD technology for digitized histopathology is reviewed and the development and application of novel image analysis technology for a few specific histopathological related problems being pursued in the United States and Europe are described.
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