Enhanced spectral histology in the colon using high-magnification benchtop FTIR imaging

Nallala, Jayakrupakar; Lloyd, Gavin R.; Hermes, Michael; Shepherd, Neil A.; Stone, Nick

doi:10.1016/j.vibspec.2016.08.013

Cited by 23 publications

(22 citation statements)

References 43 publications

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“…Mid-infrared (mid-IR) hyperspectral imaging (HSI) is of major interest in diverse fields ranging from medical diagnostics [1][2][3][4][5], to environmental monitoring [6][7][8][9], to geology for mineral identification [10], to within the food industry [11]. The widespread applicability of the mid-IR wavelength range (e.g., 2-15 μm) is intimately linked to nature-given properties of molecular absorption and includes the following main categories: (1) vibrational spectroscopy used for unique identification of complex molecules such as food or tissue; (2) gas spectroscopy characterized by fundamental band interaction between mid-IR light and most gaseous molecules including environmental gasses such as CH 4 , CO 2 , NO X , and SO X ; and (3) sensing of heat radiation from room temperature objects.…”

Section: Introductionmentioning

confidence: 99%

Video-rate, mid-infrared hyperspectral upconversion imaging

Junaid¹,

Kumar²,

Mathez³

et al. 2019

Optica

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In this work we demonstrate, to the best of our knowledge, a novel wide field-of-view upconversion system, supporting upconversion of monochromatic mid-infrared (mid-IR) images, e.g., for hyperspectral imaging (HSI). An optical parametric oscillator delivering 20 ps pulses tunable in the 2.3-4 μm range acts as a monochromatic mid-IR illumination source. A standard CCD camera, in synchronism with the crystal rotation of the upconversion system, acquires in only 2.5 ms the upconverted mid-IR images containing 64 kpixels, thereby eliminating the need for postprocessing. This approach is generic in nature and constitutes a major simplification in realizing video-frame-rate mid-IR monochromatic imaging. A second part of this paper includes a proof-of-principle study on esophageal tissues samples, from a tissue microarray, in the 3-4 μm wavelength range. The use of mid-IR HSI for investigation of esophageal cancers is particularly promising as it allows for a much faster and possibly more observer-independent workflow than state-ofthe-art histology. Comparing histologically stained sections evaluated by a pathologist to images obtained by either Fourier transform IR or upconversion HSI based on machine learning shows great promise for further work pointing towards clinical translation using the presented mid-IR HSI upconversion system.

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Section: Introductionmentioning

confidence: 99%

Video-rate, mid-infrared hyperspectral upconversion imaging

Junaid¹,

Kumar²,

Mathez³

et al. 2019

Optica

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“…101 An example of increasing specificity by the use of HD optics was also recently shown in a study of colon tissue, allowing discrimination of goblet cells along with their mucin secretions. 103,252 Breast tissue analysis using HD has also been shown, 253 followed by the creation of a more complex tissue structure classification. 35 HD imaging has also helped in identification of parasites in single erythrocytes 107 by increasing spatial resolution of the parasite signal and in observing tendon damage using linearly polarized light.…”

Section: Selected Applications Of Ir Chemical Imagingmentioning

confidence: 99%

Infrared Spectroscopic Imaging Advances as an Analytical Technology for Biomedical Sciences

Wróbel

Bhargava

2017

Anal. Chem.

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“…Accordingly, the medical application of MIR is fewer than for NIR. MIR optical fibers have been commercially available since 2016, whereas previously laboratory tools existed only [12][13][14]. In a study, breast cancer imaging of 15 patients was carried out using mid-and long wave infrared cameras.…”

Section: Introductionmentioning

confidence: 99%

Mid-Infrared Imaging Is Able to Characterize and Separate Cancer Cell Lines

Kontsek

Pesti

Björnstedt

et al. 2020

Pathol. Oncol. Res.

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Malignancies are still responsible for a large share of lethalities. Macroscopical evaluation of the surgical resection margins is uncertain. Big data based imaging approaches have emerged in the recent decade (mass spectrometry, two-photon microscopy, infrared and Raman spectroscopy). Indocianine green labelled MS is the most common approach, however, label free midinfrared imaging is more promising for future practical application. We aimed to identify and separate different transformed (A-375, HT-29) and non-transformed (CCD986SK) cell lines by a label-free infrared spectroscopy method. Our approach applied a novel setup for label-free mid-infrared range classification method. Transflection spectroscopy was used on aluminium coated glass slides. Both whole range spectra (4000-648 cm −1) and hypersensitive fingerprint regions (1800-648 cm −1) were tested on the imaged areas of cell lines fixed in ethanol. Non-cell spectra were possible to be excluded based on mean transmission values being above 90%. Feasibility of a mean transmission based spectra filtering method with principal component analysis and linear discriminant analysis was shown to separate cell lines representing different tissue types. Fingerprint region resulted the best separation of cell lines spectra with accuracy of 99.84% at 70-75 mean transmittance range. Our approach in vitro was able to separate unique cell lines representing different tissues of origin. Proper data handling and spectra processing are key steps to achieve the adaptation of this dye-free technique for intraoperative surgery. Further studies are urgently needed to test this novel, marker-free approach.

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Enhanced spectral histology in the colon using high-magnification benchtop FTIR imaging

Abstract: High-magnification (63X) benchtop FTIR imaging of colon tissues of clinical origin Highly resolved detail of cellular features and tissue type boundaries in a label-free manner Indication of differences between intracellular mucin and mucin secreted outside the cells.

Cited by 23 publications

References 43 publications

Video-rate, mid-infrared hyperspectral upconversion imaging

Video-rate, mid-infrared hyperspectral upconversion imaging

Infrared Spectroscopic Imaging Advances as an Analytical Technology for Biomedical Sciences

Mid-Infrared Imaging Is Able to Characterize and Separate Cancer Cell Lines

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