Evidence map›Paper›PMID 42126394›Full record

ReviewJournal of microscopy2026

From EM to AI: Multiscale imaging of the secretory pathway with insights from plant cells.

Charlotte Pain, Emily Farley

Abstract readReview
In one paragraph

Review in Journal of microscopy, 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
–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

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

2 authors.

Charlotte PainEndomembrane Structure and Function Research Group, School of Biological and Medical Sciences, Oxford Brookes University, Headington, Oxford, UK.ORCID 0000-0003-0350-9921
Emily FarleyEndomembrane Structure and Function Research Group, School of Biological and Medical Sciences, Oxford Brookes University, Headington, Oxford, UK.ORCID 0009-0009-1324-1835

Funding

Biotechnology and Biological Sciences Research Council BB/T008784/1Leverhulme Trust ECF-2022-002
6 · The paper itself

Abstract

The secretory pathway is a central and evolutionarily conserved feature of eukaryotic cells, responsible for protein and lipid trafficking, membrane biogenesis, signalling, and cellular homeostasis. Its complexity, dynamic behaviour, and nanoscale organisation have made it a longstanding target of microscopy-driven investigation. In this review, we trace the parallel evolution of our understanding of the secretory pathway and imaging technologies, with a particular emphasis on plant cells, where unique architectural and functional features have challenged and enriched mechanistic models. We highlight the foundational role of electron microscopy (EM) in defining the ultrastructural organisation of secretory organelles and establishing directional models of intracellular transport, followed by the fluorescence microscopy revolution that enabled direct visualisation of cargo flux and organelle dynamics in living cells. The advent of super-resolution fluorescence techniques bridged the long-standing resolution gap between light microscopy and EM, revealing nanoscale compartmentalisation, membrane contact sites, and trafficking intermediates previously inaccessible in living cells. More recently, the integration of functional assays, optogenetics, and artificial intelligence-driven segmentation, denoising, and adaptive imaging now enables quantitative and high-throughput analysis of secretory architecture. Together, these advances have transformed the secretory pathway from a static morphological concept into a dynamic, increasingly mechanistically defined system. We conclude by discussing emerging integrative strategies, particularly correlative and AI-enhanced approaches that promise to unify ultrastructural precision with molecular specificity and temporal resolution in future studies of endomembrane organisation.

Indexed as

Artificial IntelligenceMicroscopy, ElectronPlant CellsSecretory PathwayMicroscopy, Fluorescenceartificial intelligenceendoplasmic reticulumGolgi bodiesmicroscopy

Identifiers

PMID42126394
PMCPMC13280178

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.