Rapid identification of goblet cells in unstained colon thin sections by means of quantum cascade laser-based infrared microspectroscopy

Changes in the volume covered by mucin-secreting goblet cell regions within colon thin sections may serve as a means to differentiate between ulcerative colitis and infectious colitis. Here we show that rapid, quantum cascade laser-based mid-infrared microspectroscopy might be able to contribute to...

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Bibliographic Details
Published in:Analyst (London) 2015-04, Vol.140 (7), p.2086-2092
Main Authors: Kröger-Lui, N, Gretz, N, Haase, K, Kränzlin, B, Neudecker, S, Pucci, A, Regenscheit, A, Schönhals, A, Petrich, W
Format: Article
Language:English
Subjects:
Absorbance
Algorithms
Animals
Cascades
Colon
Colon - cytology
Diagnosis
Glycopeptides
Goblet Cells - cytology
Infrared
Lasers
Lasers, Semiconductor
Male
Mice
Mice, Inbred C57BL
Optical Imaging - instrumentation
Spectrophotometry, Infrared
Tableware
Time Factors
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Summary:Changes in the volume covered by mucin-secreting goblet cell regions within colon thin sections may serve as a means to differentiate between ulcerative colitis and infectious colitis. Here we show that rapid, quantum cascade laser-based mid-infrared microspectroscopy might be able to contribute to the differential diagnosis of colitis ulcerosa, an inflammatory bowel disease. Infrared hyperspectral images of mouse colon thin sections were obtained within 7.5 minutes per section with a pixel size of 3.65 × 3.65 μm(2) and a field of view of 2.8 × 3.1 mm(2). The spectra were processed by training a random decision forest classifier on the basis of k-means clustering on one thin section. The trained algorithm was then applied to 5 further thin sections for a blinded validation and it was able to identify goblet cells in all sections. The rapid identification of goblet cells within these unstained, paraffinized thin sections of colon tissue was enabled by the high content of glycopeptides within the goblet cells as revealed by the pronounced spectral signatures in the 7.6 μm-8.6 μm and the 9.2 μm-9.7 μm wavelength ranges of the electromagnetic spectrum. More so, the simple calculation of the ratio between the absorbance values at 9.29 μm and 8.47 μm provides the potential to further shorten the time for measurement and analysis of a thin section down to well below 1 minute.
ISSN:0003-2654
1364-5528
DOI:10.1039/c4an02001d