Literature DB >> 26549223

High-resolution FTIR imaging of colon tissues for elucidation of individual cellular and histopathological features.

Jayakrupakar Nallala1, Gavin Rhys Lloyd2, Neil Shepherd3, Nick Stone1.   

Abstract

Novel technologies that could complement current histopathology based cancer diagnostic methods are under examination. In this endeavour mid-infrared spectroscopic imaging is a promising candidate that can provide valuable bio-molecular information from unstained cells and tissues in a rapid and a non-destructive manner. With this imaging technique, the biochemical information obtained from smaller areas of the tissues can be of clinical significance and hence the measured pixel size. Until recently it was difficult to obtain spectral data from pixels below around 5 microns square. High NA objectives have been utilised to reduce the ideal diffraction limit, enabling for the first time elucidation of subcellular features. In this context, the ability of high-resolution imaging, obtained using novel high-magnification optics retro-fitted onto a bench top FTIR imaging system, to characterise histopathological features in colonic tissues has been tested. Formalin fixed paraffin embedded colon tissues from three different pathologies were imaged directly using the conventional and the high-magnification imaging set-ups. To circumvent chemical de-paraffinization protocols, an extended multiplicative signal correction (EMSC) based electronic de-paraffinization was carried out on all the infrared images. Multivariate analysis of the high-magnification infrared imaging data showed a detailed information of the histological features of the colon tissue in comparison to conventional imaging. Furthermore, high-magnification imaging has enabled a label-free characterization of the mucin rich goblet cell features in an unprecedented manner. The current study demonstrates the applicability of high-magnification FTIR imaging to characterise complex tissues on a smaller scale that could be of clinical significance.

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Year:  2016        PMID: 26549223     DOI: 10.1039/c5an01871d

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  10 in total

1.  Upconversion raster scanning microscope for long-wavelength infrared imaging of breast cancer microcalcifications.

Authors:  Yu-Pei Tseng; Pascaline Bouzy; Christian Pedersen; Nick Stone; Peter Tidemand-Lichtenberg
Journal:  Biomed Opt Express       Date:  2018-09-24       Impact factor: 3.732

Review 2.  Infrared Spectroscopic Imaging Advances as an Analytical Technology for Biomedical Sciences.

Authors:  Tomasz P Wrobel; Rohit Bhargava
Journal:  Anal Chem       Date:  2018-02-06       Impact factor: 6.986

3.  Statistical Considerations and Tools to Improve Histopathologic Protocols with Spectroscopic Imaging.

Authors:  Shachi Mittal; Jonathan Kim; Rohit Bhargava
Journal:  Appl Spectrosc       Date:  2022-03-16       Impact factor: 3.588

4.  Colon Cancer Grading Using Infrared Spectroscopic Imaging-Based Deep Learning.

Authors:  Saumya Tiwari; Kianoush Falahkheirkhah; Georgina Cheng; Rohit Bhargava
Journal:  Appl Spectrosc       Date:  2022-03-25       Impact factor: 3.588

5.  Fourier Transform Infrared Microscopy Enables Guidance of Automated Mass Spectrometry Imaging to Predefined Tissue Morphologies.

Authors:  Jan-Hinrich Rabe; Denis A Sammour; Sandra Schulz; Bogdan Munteanu; Martina Ott; Katharina Ochs; Peter Hohenberger; Alexander Marx; Michael Platten; Christiane A Opitz; Daniel S Ory; Carsten Hopf
Journal:  Sci Rep       Date:  2018-01-10       Impact factor: 4.379

6.  Label-free, automated classification of microsatellite status in colorectal cancer by infrared imaging.

Authors:  Angela Kallenbach-Thieltges; Frederik Großerueschkamp; Hendrik Jütte; Claus Kuepper; Anke Reinacher-Schick; Andrea Tannapfel; Klaus Gerwert
Journal:  Sci Rep       Date:  2020-06-23       Impact factor: 4.379

7.  INFORM: INFrared-based ORganizational Measurements of tumor and its microenvironment to predict patient survival.

Authors:  Saumya Tiwari; Andre Kajdacsy-Balla; Joshua Whiteley; Georgina Cheng; Stephen M Hewitt; Rohit Bhargava
Journal:  Sci Adv       Date:  2021-02-03       Impact factor: 14.136

8.  Temporal diabetes-induced biochemical changes in distinctive layers of mouse retina.

Authors:  Ebrahim Aboualizadeh; Christine M Sorenson; Alex J Schofield; Miriam Unger; Nader Sheibani; Carol J Hirschmugl
Journal:  Sci Rep       Date:  2018-01-18       Impact factor: 4.379

9.  Raman spectroscopic imaging for quantification of depth-dependent and local heterogeneities in native and engineered cartilage.

Authors:  M B Albro; M S Bergholt; J P St-Pierre; A Vinals Guitart; H M Zlotnick; E G Evita; M M Stevens
Journal:  NPJ Regen Med       Date:  2018-02-09

10.  Noise-free simulation of an FT-IR imaging hyperspectral dataset of pancreatic biopsy core bound by experiment.

Authors:  Tomasz P Wrobel; Paulina Koziol; Magda K Raczkowska; Danuta Liberda; Czeslawa Paluszkiewicz; Wojciech M Kwiatek
Journal:  Sci Data       Date:  2019-10-29       Impact factor: 6.444

  10 in total

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