Evidence map›Paper›PMID 42936072›Full record

ArticleComputational and structural biotechnology journal2026

SCOPE: A Spatial Co-registration and Omics Pipeline for Comparative Mass Spectrometry Imaging Data Analysis.

Dingchang Shi, Emily MacFarlane, Berin A Boughton, Paul J Donaldson, George Guo, Angus C Grey

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Dingchang ShiDepartment of Physiology, School of Medical Sciences, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0001-7344-9018
Emily MacFarlaneDepartment of Physiology, School of Medical Sciences, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-5262-9834
Berin A BoughtonLa Trobe Institute for Sustainable Agriculture and Food, La Trobe University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-6342-9814
Paul J DonaldsonDepartment of Physiology, School of Medical Sciences, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-4008-1138
George GuoDepartment of Physiology, School of Medical Sciences, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0003-2217-5525
Angus C GreyDepartment of Physiology, School of Medical Sciences, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-1540-1080

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatially resolved omics technologies have transformed our ability to map molecular organization within tissues. However, the absence of anatomically consistent spatial units across biological replicates fundamentally limits cross-sample comparison and rigorous population-level inference at high spatial fidelity. Current approaches rely either on segmentation-dependent region definitions, which risk obscuring fine-scale molecular heterogeneity, or on analyses confined to individual specimens without cross-replicate spatial correspondence. Here, we introduce SCOPE, a spatial co-registration and omics pipeline that integrates deformable image co-registration with a shared spatial reference, HexBin, to establish anatomically homologous spatial units across samples. By enabling segmentation-free comparison while preserving high spatial fidelity, SCOPE maintains intrinsic molecular heterogeneity and supports statistically robust cross-replicate comparison. Application of SCOPE to an

Identifiers

PMID42936072
PMCPMC13696801

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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.