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A Topological Comparison of the Fluorescence Imitating Brightfield Imaging and H&E Imaging

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Fluorescence Imitating Brightfield Imaging (FIBI) represents an innovative approach in microscopy, providing real-time, non-destructive imaging of tissue without the need for the preparation of thin sections mounted on glass slides. The non-destructive nature of the technology permits tissue preservation for downstream analysis, which makes FIBI a promising alternative to traditional hematoxylin and eosin (H&E) staining in histopathology. Previous research has shown that FIBI can identify morphological features with similar or, in some cases, higher quality compared with H&E images. To comprehensively quantify the advantages and limitations of FIBI in tissue visualization, we propose a novel framework for characterizing the topological difference of FIBI and H&E slide pairs. Experiments are performed on slide pairs of FIBI and H&E imaging of the same tissue area. The proposed approach shows that FIBI can make morphological structures, like vessels, more salient and holds great promise as a complementary technique to H&E, offering novel insights into tissue architecture and potentially improving histopathological diagnostic accuracy.

Original languageEnglish
Title of host publicationTopology- and Graph-Informed Imaging Informatics - 1st International Workshop, TGI3 2024, Held in Conjunction with MICCAI 2024, Proceedings
EditorsChao Chen, Yash Singh, Xiaoling Hu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages122-133
Number of pages12
ISBN (Print)9783031739668
DOIs
StatePublished - 2025
Event1st Workshop on Topology- and Graph- Informed Imaging Informatics, TGI3 2024, held in conjunction with the 27th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024 - Marrakesh, Morocco
Duration: Oct 10 2024Oct 10 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume15239 LNCS

Conference

Conference1st Workshop on Topology- and Graph- Informed Imaging Informatics, TGI3 2024, held in conjunction with the 27th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024
Country/TerritoryMorocco
CityMarrakesh
Period10/10/2410/10/24

Keywords

  • FIBI Imaging
  • H&E Imaging
  • Topology

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