High definition infrared chemical imaging of colorectal tissue using a Spero QCL microscope

The Analyst ◽  
2017 ◽  
Vol 142 (8) ◽  
pp. 1381-1386 ◽  
Author(s):  
B. Bird ◽  
J. Rowlette
Keyword(s):  
High Throughput ◽  
Chemical Imaging ◽  
Biomedical Science ◽  
Infrared Microscopy ◽  
High Definition ◽  
Mid Infrared ◽  
Colorectal Tissue ◽  
Infrared Microscope

Mid-infrared microscopy has become a key technique in the field of biomedical science and spectroscopy. In this current study, we explore the use of a QCL infrared microscope to produce high definition, high throughput chemical images useful for the screening of biopsied colorectal tissue.

scholarly journals High-throughput quantum cascade laser (QCL) spectral histopathology: a practical approach towards clinical translation

2016 ◽  
Vol 187 ◽  
pp. 135-154 ◽  
Author(s):  
Michael J. Pilling ◽  
Alex Henderson ◽  
Benjamin Bird ◽  
Mick D. Brown ◽  
Noel W. Clarke ◽  
...  
Keyword(s):  
Sensitivity And Specificity ◽  
High Throughput ◽  
Quantum Cascade Laser ◽  
High Sensitivity ◽  
Chemical Imaging ◽  
Clinical Translation ◽  
Infrared Microscopy ◽  
Discrete Frequency ◽  
Quantum Cascade ◽  
Spectral Histopathology

Infrared microscopy has become one of the key techniques in the biomedical research field for interrogating tissue. In partnership with multivariate analysis and machine learning techniques, it has become widely accepted as a method that can distinguish between normal and cancerous tissue with both high sensitivity and high specificity. While spectral histopathology (SHP) is highly promising for improved clinical diagnosis, several practical barriers currently exist, which need to be addressed before successful implementation in the clinic. Sample throughput and speed of acquisition are key barriers and have been driven by the high volume of samples awaiting histopathological examination. FTIR chemical imaging utilising FPA technology is currently state-of-the-art for infrared chemical imaging, and recent advances in its technology have dramatically reduced acquisition times. Despite this, infrared microscopy measurements on a tissue microarray (TMA), often encompassing several million spectra, takes several hours to acquire. The problem lies with the vast quantities of data that FTIR collects; each pixel in a chemical image is derived from a full infrared spectrum, itself composed of thousands of individual data points. Furthermore, data management is quickly becoming a barrier to clinical translation and poses the question of how to store these incessantly growing data sets. Recently, doubts have been raised as to whether the full spectral range is actually required for accurate disease diagnosis using SHP. These studies suggest that once spectral biomarkers have been predetermined it may be possible to diagnose disease based on a limited number of discrete spectral features. In this current study, we explore the possibility of utilising discrete frequency chemical imaging for acquiring high-throughput, high-resolution chemical images. Utilising a quantum cascade laser imaging microscope with discrete frequency collection at key diagnostic wavelengths, we demonstrate that we can diagnose prostate cancer with high sensitivity and specificity. Finally we extend the study to a large patient dataset utilising tissue microarrays, and show that high sensitivity and specificity can be achieved using high-throughput, rapid data collection, thereby paving the way for practical implementation in the clinic.

A protocol for rapid, label-free histochemical imaging of fibrotic liver

The Analyst ◽  
2017 ◽  
Vol 142 (8) ◽  
pp. 1179-1184 ◽  
Author(s):  
B. Bird ◽  
J. Rowlette
Keyword(s):  
High Throughput ◽  
Imaging Technique ◽  
Spectroscopic Imaging ◽  
Label Free ◽  
Biochemical Screening ◽  
Infrared Microscopy ◽  
Fibrotic Liver ◽  
Mid Infrared ◽  
Non Destructive

Mid-infrared microscopy is a non-destructive, quantitative and label-free spectroscopic imaging technique that, as a result of recent instrument advancements, is now at the point of enabling high-throughput automated biochemical screening of whole histology samples.

scholarly journals Depth-resolved mid-infrared photothermal imaging of living cells and organisms with submicrometer spatial resolution

2016 ◽  
Vol 2 (9) ◽  
pp. e1600521 ◽  
Author(s):  
Delong Zhang ◽  
Chen Li ◽  
Chi Zhang ◽  
Mikhail N. Slipchenko ◽  
Gregory Eakins ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
Single Cells ◽  
Chemical Imaging ◽  
Detection Sensitivity ◽  
Living Systems ◽  
Live Cells ◽  
Photothermal Effect ◽  
Label Free ◽  
Infrared Microscopy ◽  
Mid Infrared

Chemical contrast has long been sought for label-free visualization of biomolecules and materials in complex living systems. Although infrared spectroscopic imaging has come a long way in this direction, it is thus far only applicable to dried tissues because of the strong infrared absorption by water. It also suffers from low spatial resolution due to long wavelengths and lacks optical sectioning capabilities. We overcome these limitations through sensing vibrational absorption–induced photothermal effect by a visible laser beam. Our mid-infrared photothermal (MIP) approach reached 10 μM detection sensitivity and submicrometer lateral spatial resolution. This performance has exceeded the diffraction limit of infrared microscopy and allowed label-free three-dimensional chemical imaging of live cells and organisms. Distributions of endogenous lipid and exogenous drug inside single cells were visualized. We further demonstrated in vivo MIP imaging of lipids and proteins inCaenorhabditis elegans. The reported MIP imaging technology promises broad applications from monitoring metabolic activities to high-resolution mapping of drug molecules in living systems, which are beyond the reach of current infrared microscopy.

scholarly journals Time lapse synchrotron IR chemical imaging for observing the acclimation of a single algal cell to CO2 treatment

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ghazal Azarfar ◽  
Ebrahim Aboualizadeh ◽  
Simona Ratti ◽  
Camilla Olivieri ◽  
Alessandra Norici ◽  
...  
Keyword(s):  
Algal Cell ◽  
Principal Component ◽  
External Perturbation ◽  
Time Lapse ◽  
Chemical Imaging ◽  
Hyperspectral Data ◽  
Aqueous Environment ◽  
Ir Absorption ◽  
Imaging Data ◽  
Mid Infrared

AbstractAlgae are the main primary producers in aquatic environments and therefore of fundamental importance for the global ecosystem. Mid-infrared (IR) microspectroscopy is a non-invasive tool that allows in principle studying chemical composition on a single-cell level. For a long time, however, mid-infrared (IR) imaging of living algal cells in an aqueous environment has been a challenge due to the strong IR absorption of water. In this study, we employed multi-beam synchrotron radiation to measure time-resolved IR hyperspectral images of individual Thalassiosira weissflogii cells in water in the course of acclimation to an abrupt change of CO2 availability (from 390 to 5000 ppm and vice versa) over 75 min. We used a previously developed algorithm to correct sinusoidal interference fringes from IR hyperspectral imaging data. After preprocessing and fringe correction of the hyperspectral data, principal component analysis (PCA) was performed to assess the spatial distribution of organic pools within the algal cells. Through the analysis of 200,000 spectra, we were able to identify compositional modifications associated with CO2 treatment. PCA revealed changes in the carbohydrate pool (1200–950 cm$$^{-1}$$ - 1 ), lipids (1740, 2852, 2922 cm$$^{-1}$$ - 1 ), and nucleic acid (1160 and 1201 cm$$^{-1}$$ - 1 ) as the major response of exposure to elevated CO2 concentrations. Our results show a local metabolism response to this external perturbation.

Synchrotron infrared spectroscopic high-throughput screening of multi-composite photocatalyst films for air purification

2021 ◽  
Vol 11 (3) ◽  
pp. 790-794
Author(s):  
Yuxue Wei ◽  
Azhu Wang ◽  
Lingling Lv ◽  
Faqiang Xu ◽  
Jie Yang ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Air Purification ◽  
Composite Photocatalyst ◽  
Infrared Spectroscopic ◽  
Infrared Microscope

Synchrotron-based infrared microscope was used for the high-throughput screening of Fe3+/Nb5+ doped TiO2 photocatalysts for air purification.

Laser speckle reduction techniques for mid-infrared microscopy and stand-off spectroscopy

2017 ◽  
Author(s):  
Robert Furstenberg ◽  
Christopher A. Kendziora ◽  
Christopher J. Breshike ◽  
Viet Nguyen ◽  
R. Andrew McGill
Keyword(s):  
Laser Speckle ◽  
Speckle Reduction ◽  
Infrared Microscopy ◽  
Mid Infrared ◽  
Reduction Techniques

scholarly journals Microspectroscopic infrared specular reflection chemical imaging of multi-component urinary stones: MIR vs. FIR

2014 ◽  
Vol 12 (1) ◽  
pp. 44-52 ◽  
Author(s):  
Milda Pucetaite ◽  
Sandra Tamosaityte ◽  
Anders Engdahl ◽  
Justinas Ceponkus ◽  
Valdas Sablinskas ◽  
...  
Keyword(s):  
Diffuse Reflection ◽  
Specular Reflection ◽  
Far Infrared ◽  
Chemical Imaging ◽  
Urinary Stones ◽  
High Contrast ◽  
Mid Infrared ◽  
Infrared Microspectroscopy ◽  
Spectral Bands ◽  
Far Infrared Radiation

AbstractSpecular reflection infrared microspectroscopy was used for chemical imaging of cross-sectioned urinary stones to determine their chemical composition and morphology simultaneously. Absorption spectral bands were recovered from reflection spectra by Kramers-Kronig transform. FUse of far-infrared radiation provides high-contrast images and allows more precise constituent distribution determinations than mid-infrared because band asymmetry after the transform caused by diffuse reflection is less in the far-infrared.

High throughput nutritional profiling of pea seeds using Fourier transform mid-infrared spectroscopy

2020 ◽  
Vol 309 ◽  
pp. 125585 ◽  
Author(s):  
Chithra Karunakaran ◽  
Perumal Vijayan ◽  
Jarvis Stobbs ◽  
Ramandeep Kaur Bamrah ◽  
Gene Arganosa ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
High Throughput ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Pea Seeds ◽  
Nutritional Profiling

scholarly journals WITHDRAWN: High throughput nutritional profiling of pea seeds using Fourier transform mid-infrared spectroscopy

2019 ◽  
pp. 100055
Author(s):  
Chithra Karunakaran ◽  
Perumal Vijayan ◽  
Jarvis Stobbs ◽  
Ramandeep Kaur Bamrah ◽  
Gene Arganosa ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
High Throughput ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Pea Seeds ◽  
Nutritional Profiling

scholarly journals Milk mid-infrared spectra enable prediction of lactation-stage-dependent methane emissions of dairy cattle within routine population-scale milk recording schemes

2016 ◽  
Vol 56 (3) ◽  
pp. 258 ◽  
Author(s):  
Amélie Vanlierde ◽  
Marie-Laure Vanrobays ◽  
Nicolas Gengler ◽  
Pierre Dardenne ◽  
Eric Froidmont ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
High Throughput ◽  
Methane Emissions ◽  
Calibration Coefficient ◽  
Coefficient Of Determination ◽  
Mid Infrared ◽  
First Derivative ◽  
Data Points ◽  
Mir Spectra

Mitigating the proportion of energy intake lost as methane could improve the sustainability and profitability of dairy production. As widespread measurement of methane emissions is precluded by current in vivo methods, the development of an easily measured proxy is desirable. An equation has been developed to predict methane from the mid-infrared (MIR) spectra of milk within routine milk-recording programs. The main goals of this study were to improve the prediction equation for methane emissions from milk MIR spectra and to illustrate its already available usefulness as a high throughput phenotypic screening tool. A total of 532 methane measurements considered as reference data (430 ± 129 g of methane/day) linked with milk MIR spectra were obtained from 165 cows using the SF6 technique. A first derivative was applied to the MIR spectra. Constant (P0), linear (P1) and quadratic (P2) modified Legendre polynomials were computed from each cows stage of lactation (days in milk), at the day of SF6 methane measurement. The calibration model was developed using a modified partial least-squares regression on first derivative MIR data points × P0, first derivative MIR data points × P1, and first derivative MIR data points × P2 as variables. The MIR-predicted methane emissions (g/day) showed a calibration coefficient of determination of 0.74, a cross-validation coefficient of determination of 0.70 and a standard error of calibration of 66 g/day. When applied to milk MIR spectra recorded in the Walloon Region of Belgium (≈2 000 000 records), this equation was useful to study lactational, annual, seasonal, and regional methane emissions. We conclude that milk MIR spectra has potential to be used to conduct high throughput screening of lactating dairy cattle for methane emissions. The data generated enable monitoring of methane emissions and production characteristics across and within herds. Milk MIR spectra could now be used for widespread screening of dairy herds in order to develop management and genetic selection tools to reduce methane emissions.

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