Evidence map›Paper›PMID 41675574›Full record

ReviewResearch (Washington, D.C.)2026

Advanced Imaging for Live-Cell Spatiotemporal Monitoring: Technologies and Applications.

Zhong Zhuang, Zhichao Feng, Jie Wang, Xinhui Liu, Laijun Song, Chunhui Sun, Hong Liu, Na Ren

Abstract readReview
In one paragraph

Review in Research (Washington, D.C.), 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

8 authors.

Zhong ZhuangCollaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of Shandong, Institute for Advanced Interdisciplinary Research (iAIR), School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China.
Zhichao FengCollaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of Shandong, Institute for Advanced Interdisciplinary Research (iAIR), School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China.
Jie WangCollaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of Shandong, Institute for Advanced Interdisciplinary Research (iAIR), School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China.
Xinhui LiuCollaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of Shandong, Institute for Advanced Interdisciplinary Research (iAIR), School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China.
Laijun SongCollaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of Shandong, Institute for Advanced Interdisciplinary Research (iAIR), School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China.
Chunhui SunCollaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of Shandong, Institute for Advanced Interdisciplinary Research (iAIR), School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China.
Hong LiuCollaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of Shandong, Institute for Advanced Interdisciplinary Research (iAIR), School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China.ORCID https://orcid.org/0000-0003-1640-9620
Na RenCollaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of Shandong, Institute for Advanced Interdisciplinary Research (iAIR), School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding cellular dynamics requires real-time high-resolution imaging. Recent advancements in imaging technologies have provided unprecedented spatial and temporal resolutions, enabling the precise in situ monitoring of live-cell behavior. This review covers 4 advanced imaging modalities: stimulated emission depletion microscopy, structured illumination microscopy, single-molecule localization microscopy, and Raman spectroscopy. We summarize the principles, applications, advantages, and limitations of these methods, highlighting their significance for high-precision spatiotemporal monitoring of cellular structures and biochemical activities. These tools enable precise tracking of molecular interactions and analysis of cellular dynamics at the nanoscale, which is critical for understanding cellular physiology. The integration of these technologies into biomedical research has markedly enhanced our ability to observe live-cell processes, such as division, migration, differentiation, and signaling. The development and application of these high-precision imaging technologies hold substantial promise for improving disease diagnosis, therapeutic strategies, and drug discovery.

Identifiers

PMID41675574
PMCPMC12886719

What Socratic holds

Textmetadata
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 Socratic graph.