Literature DB >> 24965124

Large scale infrared imaging of tissue micro arrays (TMAs) using a tunable Quantum Cascade Laser (QCL) based microscope.

Paul Bassan1, Miles J Weida, Jeremy Rowlette, Peter Gardner.   

Abstract

Chemical imaging in the field of vibrational spectroscopy is developing into a promising tool to complement digital histopathology. Applications include screening of biopsy tissue via automated recognition of tissue/cell type and disease state based on the chemical information from the spectrum. For integration into clinical practice, data acquisition needs to be speeded up to implement a rack based system where specimens are rapidly imaged to compete with current visible scanners where 100's of slides can be scanned overnight. Current Fourier transform infrared (FTIR) imaging with focal plane array (FPA) detectors are currently the state-of-the-art instrumentation for infrared absorption chemical imaging, however recent development in broadly tunable lasers in the mid-IR range is considered the most promising potential candidate for next generation microscopes. In this paper we test a prototype quantum cascade laser (QCL) based spectral imaging microscope with a focus on discrete frequency chemical imaging. We demonstrate how a protein chemical image of the amide I band (1655 cm(-1)) of a 2 × 2.4 cm(2) breast tissue microarray (TMA) containing over 200 cores can be measured in 9 min. This result indicates that applications requiring chemical images from a few key wavelengths would be ideally served by laser-based microscopes.

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Year:  2014        PMID: 24965124     DOI: 10.1039/c4an00638k

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


  21 in total

1.  Renal Graft Fibrosis and Inflammation Quantification by an Automated Fourier-Transform Infrared Imaging Technique.

Authors:  Vincent Vuiblet; Michael Fere; Cyril Gobinet; Philippe Birembaut; Olivier Piot; Philippe Rieu
Journal:  J Am Soc Nephrol       Date:  2015-12-18       Impact factor: 10.121

2.  Selecting optimal features from Fourier transform infrared spectroscopy for discrete-frequency imaging.

Authors:  Rupali Mankar; Michael J Walsh; Rohit Bhargava; Saurabh Prasad; David Mayerich
Journal:  Analyst       Date:  2018-02-26       Impact factor: 4.616

3.  Mitigating fringing in discrete frequency infrared imaging using time-delayed integration.

Authors:  Shihao Ran; Sebastian Berisha; Rupali Mankar; Wei-Chuan Shih; David Mayerich
Journal:  Biomed Opt Express       Date:  2018-01-26       Impact factor: 3.732

Review 4.  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

Review 5.  Advances in Digital Pathology: From Artificial Intelligence to Label-Free Imaging.

Authors:  Frederik Großerueschkamp; Hendrik Jütte; Klaus Gerwert; Andrea Tannapfel
Journal:  Visc Med       Date:  2021-08-24

6.  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

7.  Multicolor Discrete Frequency Infrared Spectroscopic Imaging.

Authors:  Kevin Yeh; Dongkwan Lee; Rohit Bhargava
Journal:  Anal Chem       Date:  2019-01-16       Impact factor: 6.986

8.  A comparison of mid-infrared spectral regions on accuracy of tissue classification.

Authors:  Shachi Mittal; Rohit Bhargava
Journal:  Analyst       Date:  2019-04-08       Impact factor: 4.616

Review 9.  Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology.

Authors:  Rohit Bhargava; Anant Madabhushi
Journal:  Annu Rev Biomed Eng       Date:  2016-07-11       Impact factor: 9.590

10.  Infrared spectroscopic imaging detects chemical modifications in liver fibrosis due to diabetes and disease.

Authors:  Hari Sreedhar; Vishal K Varma; Francesca V Gambacorta; Grace Guzman; Michael J Walsh
Journal:  Biomed Opt Express       Date:  2016-05-27       Impact factor: 3.732

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