An AOTF-based dual-modality hyperspectral imaging system (DMHSI) capable of simultaneous fluorescence and reflectance imaging

Martin, Matthew; Wabuyele, Musundi B.; Panjehpour, Masoud; Overholt, Bergein F.; DeNovo, Robert C.; Kennel, Steve; Cunningham, Glenn; Vo‐Dinh, Tuan

doi:10.1016/j.medengphy.2005.04.022

Cited by 31 publications

(18 citation statements)

References 20 publications

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“…Tran provides an exhaustive review on the principles, instrumentation, and applications of filter-based hyperspectral imaging systems [48,49]. Currently, available spectral tuning devices for hyperspectral imaging systems are a filter wheel [50,51], an AOTF [52,53], or a LCTF [54][55][56]. Filter wheels are often bulky in size and performance of such mechanical tuning is prone to vibration.…”

Section: Hyperspectral Imaging Systemsmentioning

confidence: 99%

“…The hyperspectral imaging hardware is evolving towards multi-modal systems that integrate two or more spectroscopic imaging techniques into one system, and are transportable [51]. Ariana et al described a hyperspectral imaging system capable of three spectroscopic imaging modes: visible-to-NIR reflectance, visible light induced fluorescence, and UV-induced fluorescence [66].…”

Section: Current Research and Future Trendmentioning

confidence: 99%

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Near-infrared spectroscopy and imaging in food quality and safety

Wang

Paliwal

2007

Sens. & Instrumen. Food Qual.

136

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Over the last two decades, near-infrared spectroscopy (NIRS) has established itself as a non-destructive analytical technique in a variety of disciplines. However, recent technological advancements in hardware design and data mining techniques have unleashed the potential of NIRS to become a tool of choice for routine analyses of agricultural products. The current paper synthesizes the status of NIRS in the agri-food industry in terms of hardware and software development as well as the direction in which the NIRS research is headed. An extensive review of literature reveals that the emphasis on hardware development is focused on developing compact, robust, and portable spectrometers and hyperspectral imaging (HSI) systems. The software development on the other hand is geared towards developing better preprocessing, analyses, and modeling techniques using chemometrics, support vector machines, and artificial neural networks. The four main agri-food sectors identified to be the beneficiaries of this research revolution are grain quality monitoring; postharvest handling of fruits and vegetables; identification of contaminants in animal produce and feed; and food safety and authenticity. Apart from discussing the aforementioned topics, the paper also provides food scientists some working knowledge on parameters crucial to the performance of spectral and imaging systems. It is expected that further development of NIRS will help agricultural and food scientists to enhance the quality and safety of our food.

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Section: Hyperspectral Imaging Systemsmentioning

confidence: 99%

Section: Current Research and Future Trendmentioning

confidence: 99%

Near-infrared spectroscopy and imaging in food quality and safety

Wang

Paliwal

2007

Sens. & Instrumen. Food Qual.

136

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“…Such advances are well matched by progress that has been made in the last decade or so in optical microscopies, particularly confocal fluorescence microscopy, including recently developed instruments that allow rapid whole-slide imaging in several fluorescence channels, or even in hyperspectral mode to allow spectral unmixing of multiple reporters. 93 ͑Hyperspectral endoscopy 94,95 is also an evolving technology that will be well matched to the new era of molecular imaging.͒ The use of tissue microarrays may also become important to build up a bioinformatics database on BE patients, ultimately for correlation with clinical outcome and therapeutic interventions. Even if Qdots ͑or other fluorophores͒ are not used for in vivo diagnostics, they will play an important role as reporters for fluorescence microscopy.…”

Section: Exogenous Contrastmentioning

confidence: 99%

Detection and treatment of dysplasia in Barrett’s esophagus: a pivotal challenge in translating biophotonics from bench to bedside

Wilson

2007

J. Biomed. Opt.

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Barrett's esophagus (BE) is a condition that poses high risk of developing dysplasia leading to cancer. Detection of dysplasia is a critical element in determining therapy but is extremely challenging, so that standard white-light endoscopy is used only as a means to guide biopsy. Many novel optical techniques have been aimed at this problem, including various forms of improved wide-field white-light (chromoendscopy/magnification and narrow-band) and fluorescence imaging, and "optical biopsy" techniques (diffuse reflectance, elastic light scattering, fluorescence and Raman spectroscopies, confocal microendoscopy, and optical coherence tomography). While promising, either as stand-alone modalities or in combination, to date none has solved this pivotal challenge to the point of clinical adoption. Likewise, minimally invasive treatment of BE patients with dysplasia remains suboptimal, despite recent approval of photodynamic therapy for this indication. This work presents a critique and summary of each of these biophotonic technologies, and discusses the fundamental advantages and limitations of each. The future directions for this field are considered, particularly from the perspective of relying on intrinsic (endogenous) optical signatures compared with the use of exogenous contrast agents.

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“…2 It has also been shown that significant differences in these fluorescence properties occur between malignant and normal tissues. 12,13,21 These early single-point spectroscopic attempts were successful in detecting malignancies. The basic setup utilized a nitrogen laser as an excitation source and was capable of rapid point measurements.…”

Section: Introductionmentioning

confidence: 99%

Development of an Advanced Hyperspectral Imaging (HSI) System with Applications for Cancer Detection

et al. 2006

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An advanced hyper-spectral imaging (HSI) system has been developed having obvious applications for cancer detection. This HSI system is based on state-of-the-art liquid crystal tunable filter technology coupled to an endoscope. The goal of this unique HSI technology being developed is to obtain spatially resolved images of the slight differences in luminescent properties of malignant versus non-malignant tissues. In this report, the development of the instrument is discussed and the capability of the instrument is demonstrated by observing mouse carcinomas in-vivo. It is shown that the instrument successfully distinguishes between normal and malignant mouse skin. It is hoped that the results of this study will lead to advances in the optical diagnosis of cancer in humans.

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An AOTF-based dual-modality hyperspectral imaging system (DMHSI) capable of simultaneous fluorescence and reflectance imaging

Cited by 31 publications

References 20 publications

Near-infrared spectroscopy and imaging in food quality and safety

Near-infrared spectroscopy and imaging in food quality and safety

Detection and treatment of dysplasia in Barrett’s esophagus: a pivotal challenge in translating biophotonics from bench to bedside

Development of an Advanced Hyperspectral Imaging (HSI) System with Applications for Cancer Detection

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