Evidence map›Paper›PMID 42907669›Full record

ReviewJournal of fluorescence2026

Breaking the Diffraction Limit: Progress and Prospects of Super-Resolution Fluorescence Microscopy in Biomedical and Materials Research.

Rajesh Sharma, Reena Sharma

Abstract readReview
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In one paragraph

Review in Journal of fluorescence, 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.

Rajesh SharmaDepartment of Pure and Applied Physics, Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur, Chhattisgarh, 495009, India. sharma_rajesh1234@yahoo.com.ORCID http://orcid.org/0000-0002-5464-1482
Reena SharmaUniversity Centre for Research and Development, Chandigarh University, Mohali, Punjab, 140413, India.

Funding

Department of Science and Technology, Ministry of Science and Technology, India IF190054
6 · The paper itself

Abstract

The emergence of super-resolution microscopy (SRM) has had a significant impact on the research field of diffraction-limited optical fluorescence microscopy, which has a span of applications from fundamental biophotonics to advanced materials science. SRM is a powerful technique capable of producing ultra-high-resolution images of organic, semiconductor materials and live cells by overcoming the conventional diffraction limit. In this manuscript, we discuss various strategies for improving the spatial and temporal resolution of SRM techniques without causing photodamage to the sample, which is a common issue when samples are exposed to high-intensity depletion beams. The problem of background noise is also a major limitation of all SRM techniques. In order to address these limitations, we propose various strategies to improve optical design, optical alignments, tuning of wavelengths of excitation and depletion laser beams, fluorescent probes, and microscopy modalities. Moreover, SRM techniques are reviewed and compared with each other as well as with conventional microscopy techniques in terms of imaging properties, spatiotemporal resolution, and fluorescent labels for cancer pathology applications. The continued integration of advanced probe design, adaptive optics, and AI-driven image reconstruction can serve as a future road-map to revolutionize SRM, enabling real-time, non-invasive, and ultra-high-resolution imaging across complex biological and material systems.

Indexed as

Cancer pathobiologyDiffraction LimitFluorescence microscopyStimulated emission depletion microscopySuper-resolution microscopy

Identifiers

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.