Evidence map›Paper›PMID 40401033›Full record

ArticleTopology- and graph-informed imaging informatics : first International Workshop, TGI3 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. International Workshop on Topology- and Graph-Informed ...2025

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

Meiliong Xu, Nate Anderson, Richard M Levenson, Prateek Prasanna, Chao Chen

Abstract read
In one paragraph

Article in Topology- and graph-informed imaging informatics : first International Workshop, TGI3 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. International Workshop on Topology- and Graph-Informed ..., 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Meiliong XuDepartment of Computer Science, Stony Brook University, New York, USA.
Nate AndersonDepartment of Pathology and Laboratory Medicine, University of California, Davis, USA.
Richard M LevensonDepartment of Pathology and Laboratory Medicine, University of California, Davis, USA.
Prateek PrasannaDepartment of Biomedical Informatics, Stony Brook University, New York, USA.
Chao ChenDepartment of Biomedical Informatics, Stony Brook University, New York, USA.

Funding

Functionally guided adult whole brain cell atlas in human and NHPUM1MH130981 · NIMH · ALLEN INSTITUTE · PI Ed Lein, Hongkui Zeng · 2022 to 2026
$91.9M
Acquisition-independent machine learning for morphometric analysis of underrepresented aging populations with clinical and low-field brain MRIRF1AG080371 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Juan Eugenio Iglesias Gonzalez · 2023 to 2026
$4.0M
Diagnosing the undiagnosable: studies of Alzheimer disease mimics and confounders via "neuropathometry" of dissection photos with 3D scanningR01AG070988 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI IGLESIAS GONZALEZ, JUAN EUGENIO · 2021 to 2025
$2.7M
Open-source software for multi-scale mapping of the human brainRF1MH123195 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE, IGLESIAS GONZALEZ, JUAN EUGENIO · 2020 to 2020
$2.0M
IMAT-ITCR Collaboration: Combining FIBI and topological data analysis: Synergistic approaches for tumor structural microenvironment explorationR33CA278544 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI ICZKOWSKI, KENNETH A · 2023 to 2025
$988k
IMAT-ITCR Collaboration: Combining FIBI and topological data analysis: Synergistic approaches for tumor structural microenvironment explorationR21CA258493 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI CHEN, CHAO, PRASANNA, PRATEEK · 2022 to 2023
$467k
NCI NIH HHS R21 CA258493NCI NIH HHS R33 CA278544NIA NIH HHS R01 AG070988NIA NIH HHS RF1 AG080371NIMH NIH HHS RF1 MH123195NIMH NIH HHS UM1 MH130981
6 · The paper itself

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.

Indexed as

FIBI ImagingH&E ImagingTopology

Identifiers

PMID40401033
PMCPMC12094514

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.