A novel 2D and 3D wide-view imaging approach by controlling optimal range for cytopathological analysis in light microscopic system


DOĞAN H., BAYKAL KABLAN E., ERCİN M. E., ERSÖZ Ş., EKİNCİ M.

OPTICS COMMUNICATIONS, vol.430, pp.39-50, 2019 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 430
  • Publication Date: 2019
  • Doi Number: 10.1016/j.optcom.2018.08.032
  • Journal Name: OPTICS COMMUNICATIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.39-50
  • Keywords: Cytopathological analysis, 2D and 3D wide-view imaging, Light microscopic system, Optimal range, AUTOMATED MICROSCOPE, FOCUS MEASURE, MOSAICS, IMAGES, SHAPE
  • Lokman Hekim University Affiliated: No

Abstract

Due to limitations of acquired pixel size and small field of view in the light microscopic system, pathologists must move microscope platform along the X-Y-Z axes without losing focusing in order to see whole regions of the specimen. Wide-view imaging provides a more realistic cytopathological analysis on the 2D and 3D panoramic images with an ultra-high resolution by minimizing these limitations. In this study, a novel 2D and 3D wide-view imaging approach is proposed for cytopathological analysis in light microscopic systems. This approach is performed in four main stages; estimation of optimal range, generation of optimal focused 2D & 3D adjacent images, control of optimal range and 2D & 3D image stitching. In contrast to literature studies for 2D and 3D wide-view imaging, optimal range and the number of mull-focus images are selected according to types of specimen and magnification objectives, and re-arranged to prevent the difference of focusing between adjacent images during X-Y movements of the platform. In order evaluate the performance of our proposed 2D wide-view imaging approach, two different 2D wide-view imaging approaches suggested in literature are applied to our datasets. The generated 2D wide-view images are compared using the metrics without requiring reference image, and the success of the proposed 2D and 3D wide-view imaging approach is proven by both quantitative and visual results.