Fluorescence Lifetime Spectroscopy and Imaging Techniques in Medical Applications

Gorpas, Dimitris; Marcu, Laura

doi:10.1007/978-981-287-627-0_1

Cited by 5 publications

(5 citation statements)

References 153 publications

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“…Recent advances in optical spectroscopy have led to the development of several new methods with translational potential for medical applications [17][18][19][20][21]. Raman spectroscopy has been proposed as a non-invasive and label free analytical method with a very consistent and prolific track record of in-vitro biomedical applications [22][23][24] for histopathological screening [25][26][27][28][29] as well as probing of lymph node pathology using fibre probes [30][31][32].…”

Section: Introductionmentioning

confidence: 99%

High sensitivity non‐invasive detection of calcifications deep inside biological tissue using Transmission Raman Spectroscopy

Ghiţă

Matousek

Stone

2017

Journal of Biophotonics

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The aim of this research was to develop a novel approach to probe non-invasively the composition of inorganic chemicals buried deep in large volume biological samples. The method is based on advanced Transmission Raman Spectroscopy (TRS) permitting chemical specific detection within a large sampling volume. The approach could be beneficial to chemical identification of the breast calcifications detected during mammographic X-ray procedures. The chemical composition of a breast calcification reflects the pathology of the surrounding tissue, malignant or benign and potentially the grade of malignancy. However, this information is not available from mammography, leading to excisional biopsy and histopathological assessment for a definitive diagnosis. Here we present, for the first time, a design of a new high performance deep Raman instrument and demonstrate its capability to detect type II calcifications (calcium hydroxyapatite) at clinically relevant concentrations and depths of around 40 mm in phantom tissue. This is around double the penetration depth achieved with our previous instrument design and around two orders of magnitude higher than that possible when using conventional Raman spectroscopy.

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Section: Introductionmentioning

confidence: 99%

High sensitivity non‐invasive detection of calcifications deep inside biological tissue using Transmission Raman Spectroscopy

Ghiţă

Matousek

Stone

2017

Journal of Biophotonics

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“…[26][27][28] As of today, to the best of our knowledge, very limited information, if any, is available on endogenous fluorescence of polymers from which one can manufacture transparent balloons for Auf-HSI or any other autofluorescence-based diagnostic modalities. 29 Experiments detailed in this paper attempt to start filling the above-described knowledge gap. The selection of the polymers was based on their potential to create transparent balloons for medical applications.…”

Section: Introductionmentioning

confidence: 99%

“… 26 – 28 As of today, to the best of our knowledge, very limited information, if any, is available on endogenous fluorescence of polymers from which one can manufacture transparent balloons for Auf-HSI or any other autofluorescence-based diagnostic modalities. 29 …”

Section: Introductionmentioning

confidence: 99%

Autofluorescence properties of balloon polymers used in medical applications

et al. 2020

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Significance: For use in medical balloons and related clinical applications, polymers are usually designed for transparency under illumination with white-light sources. However, when illuminated with ultraviolet (UV) or blue light, most of these materials autofluoresce in the visible range, which can be a concern for modalities that rely on tissue autofluorescence for diagnostic or therapeutic purposes. Aim: A search for published information on spectral properties of polymers that can be used for medical balloon manufacturing revealed a scarcity of published information on this subject. The aim of these studies was to address this gap. Approach: The autofluorescence properties of polymers used in medical balloon manufacturing were examined for their suitability for hyperspectral imaging and related applications. Excitation-emission matrices of different balloon materials were acquired within the 320-to 620-nm spectral range. In parallel, autofluorescence profiles from the 420-to 620-nm range were extracted from hyperspectral datasets of the same samples illuminated with UV light. The list of tested polymers included polyurethanes, nylon, polyethylene terephthalate (PET), polyether block amide (PEBAX), vulcanized silicone, thermoplastic elastomers with and without talc, and cyclic olefin copolymers, known by their trade name TOPAS. Results: Each type of polymer exhibited a specific pattern of autofluorescence. Polyurethanes, PET, and thermoplastic elastomers containing talc had the highest autofluorescence values, while sheets made of nylon, PEBAX, and TOPAS exhibited negligible autofluorescence. Hyperspectral imaging was used to illustrate how the choice of specific balloon material can impact the ability of principal component analysis to reveal the ablated cardiac tissue. Conclusions: The data revealed significant differences between autofluorescence profiles of the polymers and pointed to the most promising balloon materials for clinical implementation of approaches that depend on tissue autofluorescence.

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“…Most of the studies in head and neck cancer are based on either steady‐state spectroscopy or intensity imaging. These techniques lack specificity due to intra‐ and inter‐patient variability and the relatively large number of factors that influence their functionality . To improve specificity, most of the published studies included complementary diagnostic techniques, such as diffuse reflectance spectroscopy, light‐scattering spectroscopy .…”

Section: Introductionmentioning

confidence: 99%

“…These techniques lack specificity due to intra-and inter-patient variability and the relatively large number of factors that influence their functionality. 10 To improve specificity, most of the published studies included complementary diagnostic techniques, such as diffuse reflectance spectroscopy, 11,12 light-scattering spectroscopy. 11 depth-sensitive probes 12 and digital image processing.…”

Section: Introductionmentioning

confidence: 99%