Evidence map›Paper›PMID 39781305›Full record

ReviewJournal of medicine and life2024

Optical tweezers in biomedical research - progress and techniques.

Dharm Singh Yadav, Tudor Savopol

Abstract readReview
In one paragraph

Review in Journal of medicine and life, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
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.

Dharm Singh YadavBiophysics and Cellular Biotechnology Department, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania.
Tudor SavopolBiophysics and Cellular Biotechnology Department, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical tweezers, which leverage the forces exerted by radiation pressure, have emerged as a pivotal technique for precisely manipulating and analyzing microscopic particles. Since Arthur Ashkin's ground-breaking work in the 1970s and the subsequent development of the single-beam optical trap in 1986, the capabilities of optical tweezers have expanded significantly, enabling the intricate manipulation of biological specimens at the micro- and nanoscale. This review elucidates the foundational principles of optical trapping and their extensive applications in the biomedical sciences. The applications of optical tweezers in biomedicine are vast, ranging from the investigation of cellular mechanical properties, such as cell stretching, membrane elasticity, and stiffness, to single-molecule studies encompassing DNA and protein mechanics, protein-DNA interactions, molecular motor functions, and pathogen-host interactions. Advancement of optical tweezers in this field includes their integration with holography, fluorescence microscopy, microfluidics, and enhancements in force sensitivity and positional accuracy. These tools have profoundly impacted the study of cellular mechanics, drug discovery processes, and disease diagnostics, providing unparalleled insights into the biophysical mechanisms underlying health and pathology.

Indexed as

Biomedical ResearchOptical TweezersHumansAFM, Atomic Force MicroscopyCCD, Charge-Coupled Devicecell manipulationcell stretchingDNA stretchingdsDNA, Double-Stranded DNAE. Coli, Escherichia colielastic properties of cellsHOT, Holographic Optical TweezersIVF, In-Vitro Fertilizationmembrane tetheringODS, Optical DNA Supercoilingoptical tweezersRBC, Red Blood CellsRNAP, RNA Polymerasesingle molecule studiesSLM, Spatial Light Modulator

Identifiers

PMID39781305
PMCPMC11705474

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.