Suitability of infrared microspectroscopic imaging for histopathology of the uterine cervix

Einenkel, Jens; Braumann, Ulf‐Dietrich; Steller, Wolfram; Binder, Hans; Horn, Lars‐Christian

doi:10.1111/j.1365-2559.2011.04140.x

Cited by 5 publications

(7 citation statements)

References 35 publications

(96 reference statements)

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“…7 Based on this more recently, the concept of spectral histopathology/cytology has been established where morpho-histological features of cells and tissues have been deciphered using imaging approaches. 8–14 In the same context, we also recently demonstrated the concept of spectral bar coding for differentiating normal from cancerous colon tissues. 15 IR imaging can be performed in the conventional transmission mode (IR-T) in which the IR light is absorbed by a thin tissue section in its path, transflection mode in which the IR light is transflected by a reflecting surface onto which the tissue is placed, or the less conventional IR attenuated total reflection mode (ATR-IR).…”

Section: Introductionmentioning

confidence: 83%

Infrared and Raman Imaging for Characterizing Complex Biological Materials: A Comparative Morpho-Spectroscopic Study of Colon Tissue

et al. 2014

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Complementary diagnostic methods to conventional histopathology are currently being investigated for developing rapid and objective molecular-level understanding of various disorders, especially cancers. Spectral histopathology using vibrational spectroscopic imaging has been put in the frontline as potentially promising in this regard as it provides a "spectral fingerprint" of the biochemical composition of cells and tissues. In order to ascertain the feasible conditions of vibrational spectroscopic methods for tissue-imaging analysis, vibrational multimodal imaging (infrared transmission, infrared-attenuated total reflection, and Raman imaging) of the same colon tissue has been implemented. The spectral images acquired were subjected to multivariate clustering analysis in order to identify on a molecular level the constituent histological organization of the colon tissue such as the epithelium, connective tissue, etc., by comparing the cluster images with the histological reference images. Based on this study, a comparative analysis of important factors involved in the vibrational multimodal imaging approaches such as image resolution, time constraints, their advantages and limitations, and their applicability to biological tissues has been carried out. Out of the three different vibrational imaging modalities tested, infrared-attenuated total reflection mode of imaging appears to provide a good compromise between the tissue histology and the time constraints in achieving similar image contrast to that of Raman imaging at an approximately 33-fold faster measurement time. The present study demonstrates the advantages, the limitations of the important parameters involved in vibrational multimodal imaging approaches, and their potential application toward imaging of biological tissues.

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Section: Introductionmentioning

confidence: 83%

Infrared and Raman Imaging for Characterizing Complex Biological Materials: A Comparative Morpho-Spectroscopic Study of Colon Tissue

et al. 2014

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“…The exploration of label-free diagnostic methods is a highly sought after area of research and mid-IR spectral imaging is a promising tool in this regard. This is now well documented where several studies have shown the potential of mid-IR imaging as a diagnostic tool applied to various types of cancer [9,10,[36][37][38]. To precisely interpret the biomolecular changes either in a manual or an automatic manner, it is essential to have highly resolved images.…”

Section: Characterization Of Tissue Featuresmentioning

confidence: 99%

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

Nallala

Lloyd

Hermes

et al. 2017

Vibrational Spectroscopy

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“…Fourier‐transform infrared (FTIR) spectral imaging, which allows characterization of histological structures of a tissue, is an innovative, non‐destructive, and label‐free diagnostic method. In oncology, this method can be used for discriminating between normal and cancerous tissues from different organs, such as brain , skin , colon , lung , breast , prostate or cervix .…”

Section: Introductionmentioning

confidence: 99%

“…method. In oncology, this method can be used for discriminating between normal and cancerous tissues from different organs, such as brain [1], skin [2], colon [3,4], lung [5,6], breast [7], prostate [8] or cervix [9].…”

Section: Introductionmentioning

confidence: 99%

Fully unsupervised inter‐individual IR spectral histology of paraffinized tissue sections of normal colon

Nguyen

Jeannesson

Groh

et al. 2016

Journal of Biophotonics

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In label-free Fourier-transform infrared histology, spectral images are individually recorded from tissue sections, pre-processed and clustered. Each single resulting color-coded image is annotated by a pathologist to obtain the best possible match with tissue structures revealed after Hematoxylin-Eosin staining. However, the main limitations of this approach are the empirical choice of the number of clusters in unsupervised classification, and the marked color heterogeneity between the clustered spectral images. Here, using normal murine and human colon tissues, we developed an automatic multi-image spectral histology to simultaneously analyze a set of spectral images (8 images mice samples and 72 images human ones). This procedure consisted of a joint Extended Multiplicative Signal Correction (EMSC) to numerically deparaffinize the tissue sections, followed by an automated joint K-Means (KM) clustering using the hierarchical double application of Pakhira-Bandyopadhyay-Maulik (PBM) validity index. Using this procedure, the main murine and human colon histological structures were correctly identified at both the intra- and the inter-individual levels, especially the crypts, secreted mucus, lamina propria and submucosa. Here, we show that batched multi-image spectral histology procedure is insensitive to the reference spectrum but highly sensitive to the paraffin model of joint EMSC. In conclusion, combining joint EMSC and joint KM clustering by double PBM application allows to achieve objective and automated batched multi-image spectral histology.

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Suitability of infrared microspectroscopic imaging for histopathology of the uterine cervix

Abstract: This imaging technique has potential as a new method for tissue characterization; however, the recognition accuracy does not justify a pathologist-independent tissue analysis, and the application is only possible in combination with concomitant conventional histopathology.

Cited by 5 publications

References 35 publications

Infrared and Raman Imaging for Characterizing Complex Biological Materials: A Comparative Morpho-Spectroscopic Study of Colon Tissue

Infrared and Raman Imaging for Characterizing Complex Biological Materials: A Comparative Morpho-Spectroscopic Study of Colon Tissue

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

Fully unsupervised inter‐individual IR spectral histology of paraffinized tissue sections of normal colon

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