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

  • Stony Brook University
  • University of California at Davis

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
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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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