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Optical Review

, Volume 26, Issue 4, pp 369–379 | Cite as

Elastic and collagen fibers discriminant analysis using H&E stained hyperspectral images

  • Lina SeptianaEmail author
  • Hiroyuki Suzuki
  • Masahiro Ishikawa
  • Takashi Obi
  • Naoki Kobayashi
  • Nagaaki Ohyama
  • Takaya Ichimura
  • Atsushi Sasaki
  • Erning Wihardjo
  • Dini Andiani
Regular Paper
  • 110 Downloads

Abstract

Hematoxylin and eosin (H&E) stain is one of the most common specimen staining methods in pathology diagnosis due to the capability to show the morphological structure of tissue. However, the appearance of the specific component, i.e., elastic fibers might not be recognized easily because have similar color and pattern with ones of collagen fibers. To distinguish these two components, Verhoeff’s Van Gieson (EVG) staining method is commonly used. Nevertheless, procedures of EVG stain are more complex and expensive than H&E stain. In this study, we investigate the possibility to distinguish elastic and collagen fibers from H&E stained images by applying spectral image analysis based on hyperspectral images. With experiments, we measure the transmittance spectral of 61-band H&E stained hyperspectral image, which are converted into absorbance spectral of hematoxylin, eosin, and red blood cell. As many as 3000 sampling pixels both from RGB and hyperspectral images of HE stained specimens were trained using Linear Discriminant Analysis (LDA) to get a discriminant function to classify elastic and collagen components in H&E RGB and H&E hyperspectral images. We conducted verification based on leave-one-out cross-validation of six data sets for evaluation. The verification result both visually and quantitatively compared to EVG stained image shows that the usage of hyperspectral images performs better than RGB images.

Keywords

Pathology Hyperspectral image Discriminant analysis Classification 

Notes

Acknowledgements

This work is supported by Indonesia Endowment Fund for Education (LPDP) and Japan Society for The Promotion of Science (JSPS)—Indonesian Institute of Science (LIPI) Joint Research Program.

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Copyright information

© The Optical Society of Japan 2019

Authors and Affiliations

  • Lina Septiana
    • 1
    • 5
    Email author
  • Hiroyuki Suzuki
    • 2
  • Masahiro Ishikawa
    • 3
  • Takashi Obi
    • 1
    • 2
  • Naoki Kobayashi
    • 3
  • Nagaaki Ohyama
    • 2
  • Takaya Ichimura
    • 4
  • Atsushi Sasaki
    • 4
  • Erning Wihardjo
    • 5
  • Dini Andiani
    • 6
  1. 1.Department of Information and Communication Engineering, School of EngineeringTokyo Institute of TechnologyYokohamaJapan
  2. 2.Institute of Innovative Research, Tokyo Institute of TechnologyYokohamaJapan
  3. 3.Faculty of Health and Medical CareSaitama Medical UniversityIrumaJapan
  4. 4.Faculty of MedicineSaitama Medical UniversityIrumaJapan
  5. 5.Department of Electrical EngineeringKrida Wacana Christian UniversityJakartaIndonesia
  6. 6.Research Center for Quality System and Testing TechnologyIndonesian Institute of Sciences (P2SMTP-LIPI)TangerangIndonesia

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