Evidence map›Paper›PMID 42098809›Full record

ArticleBiomedical engineering online2026

Multimodal holotomography for volumetric monitoring of host-pathogen interactions.

Ziyang Yu, Lei Jin, Mingyang Liang, Aaron Au, Thaisa Luup Kannen, Peter Serles, Tobin Filleter, Laurence Pelletier, Scott D Gray-Owen, Christopher M Yip

Abstract read
In one paragraph

Article in Biomedical engineering online, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Ziyang YuInstitute of Biomedical Engineering, University of Toronto, 164 College Street, Toronto, ON, M5S 3G9, Canada.
Lei JinInstitute of Biomedical Engineering, University of Toronto, 164 College Street, Toronto, ON, M5S 3G9, Canada.
Mingyang LiangDonnelly Centre for Cellular & Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON, M5S 3E1, Canada.
Aaron AuInstitute of Biomedical Engineering, University of Toronto, 164 College Street, Toronto, ON, M5S 3G9, Canada.
Thaisa Luup KannenInstitute of Biomedical Engineering, University of Toronto, 164 College Street, Toronto, ON, M5S 3G9, Canada.
Peter SerlesDepartment of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, ON, M5S 3G8, Canada.
Tobin FilleterDepartment of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, ON, M5S 3G8, Canada.
Laurence PelletierLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, M5G 1X5, Canada.
Scott D Gray-OwenDepartment of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON, M5S 1A8, Canada.
Christopher M YipInstitute of Biomedical Engineering, University of Toronto, 164 College Street, Toronto, ON, M5S 3G9, Canada. christopher.yip@utoronto.ca.

Funding

CIHR FDN #167279Natural Sciences and Engineering Research Council of Canada RGPIN-2015-043
6 · The paper itself

Abstract

backgroundA strategic way to gain a deeper understanding of how infection occurs is to characterize the mechanisms of pathogen binding and uptake. To accomplish this, we have focused our efforts on developing approaches that enable real-time monitoring of the initial stages of pathogen binding and the dynamics of the corresponding cellular response, including how membrane receptors are recruited to the binding sites. Past efforts have relied largely on widefield fluorescence imaging to track receptor recruitment and pathogen uptake.

methodsIn this work, we have applied holotomography (HT) to probe pathogen binding using 3D refractive index (RI) reconstruction and spatial-temporal bacteria tracking. While promising, we also report on the challenges encountered in developing a multimodal correlative HT-fluorescence approach for real-time visualization of pathogen uptake and engagement.

resultsWe report here on an imaging platform that integrates HT with multicolor fluorescence microscopy. The system can reconstruct quantitative RI volumes and perform single particle and pathogen tracking. We applied this system to monitor the interaction of Neisseria gonorrhoeae bacteria with live CEACAM-expressing HeLa cells, coupling HT with simultaneous two-channel highly inclined laminated optical sheet (HILO) fluorescence imaging to track the dynamics and spatial distribution of membrane receptors and bacteria within the same field of view. Simultaneous acquisition and co-registration of the phase and fluorescence channels resulted in a multicolor, temporally synchronized dataset of pathogen binding and receptor engagement, portending video-rate three-dimensional tracking of pathogen binding and uptake.

conclusionsThe coupled platform we have developed has enabled direct volumetric imaging of the dynamics of pathogen binding and concomitant recruitment of membrane receptors on live cells. The platform closes a critical gap between optically sectioned fluorescence and label-free 3D phase imaging and can be adapted to other receptor-ligand systems that would benefit from correlated structural and functional insights.

Indexed as

Host-Pathogen InteractionsNeisseria gonorrhoeaeHeLa CellsHumansImaging, Three-DimensionalMicroscopy, FluorescenceQuantitative Phase ImagingBacterium trackingCEACAMCorrelative microscopyHILO fluorescenceHolotomographyHomoFRETHost–pathogen interactionNeisseria gonorrhoeaeQuantitative phase imaging

Identifiers

PMID42098809
PMCPMC13317361

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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.