Evidence map›Paper›PMID 40079204›Full record

ReviewNanoscale2025

Optical label-free microscopy characterization of dielectric nanoparticles.

Berenice García Rodríguez, Erik Olsén, Fredrik Skärberg, Giovanni Volpe, Fredrik Höök, Daniel Sundås Midtvedt

Abstract readReview
In one paragraph

Review in Nanoscale, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Berenice García RodríguezDepartment of Physics, University of Gothenburg, Gothenburg, Sweden. daniel.midtvedt@physics.gu.se.
Erik OlsénDepartment of Physics, Chalmers University of Technology, Gothenburg, Sweden. erik.olsen@msl.ubc.ca.ORCID http://orcid.org/0000-0002-4002-0917
Fredrik SkärbergDepartment of Physics, University of Gothenburg, Gothenburg, Sweden. daniel.midtvedt@physics.gu.se.
Giovanni VolpeDepartment of Physics, University of Gothenburg, Gothenburg, Sweden. daniel.midtvedt@physics.gu.se.ORCID http://orcid.org/0000-0001-5057-1846
Fredrik HöökDepartment of Physics, Chalmers University of Technology, Gothenburg, Sweden. erik.olsen@msl.ubc.ca.ORCID http://orcid.org/0000-0003-1994-5015
Daniel Sundås MidtvedtDepartment of Physics, University of Gothenburg, Gothenburg, Sweden. daniel.midtvedt@physics.gu.se.ORCID http://orcid.org/0000-0003-4132-4629

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to relate nanoparticle properties to function, fast and detailed particle characterization is needed. The ability to characterize nanoparticle samples using optical microscopy techniques has drastically improved over the past few decades; consequently, there are now numerous microscopy methods available for detailed characterization of particles with nanometric size. However, there is currently no "one size fits all" solution to the problem of nanoparticle characterization. Instead, since the available techniques have different detection limits and deliver related but different quantitative information, the measurement and analysis approaches need to be selected and adapted for the sample at hand. In this tutorial, we review the optical theory of single particle scattering and how it relates to the differences and similarities in the quantitative particle information obtained from commonly used label-free microscopy techniques, with an emphasis on nanometric (submicron) sized dielectric particles. Particular emphasis is placed on how the optical signal relates to mass, size, structure, and material properties of the detected particles and to its combination with diffusivity-based particle sizing. We also discuss emerging opportunities in the wake of new technology development, including examples of adaptable python notebooks for deep learning image analysis, with the ambition to guide the choice of measurement strategy based on various challenges related to different types of nanoparticle samples and associated analytical demands.

Identifiers

PMID40079204
PMCPMC11904879

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Registered trials

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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.