Evidence map›Paper›PMID 41238576›Full record

ArticleNature communications2025

Bidirectional quantitative scattering microscopy.

Kohki Horie, Keiichiro Toda, Takuma Nakamura, Takuro Ideguchi

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Kohki Horie *Department of Physics, The University of Tokyo, Tokyo, Japan.
Keiichiro Toda *Institute for Photon Science and Technology, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0009-0003-0357-9687
Takuma NakamuraInstitute for Photon Science and Technology, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0003-1350-549X
Takuro IdeguchiDepartment of Physics, The University of Tokyo, Tokyo, Japan. ideguchi@ipst.s.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0002-7233-2528

Funding

MEXT | Japan Science and Technology Agency (JST) JPMJFR236CMEXT | Japan Society for the Promotion of Science (JSPS) 23H00273
6 · The paper itself

Abstract

Quantitative phase microscopy (QPM) and interferometric scattering (iSCAT) microscopy are powerful label-free imaging techniques that are widely used in biomedical applications. Each method, however, possesses distinct limitations: QPM, which measures forward scattering (FS), excels at imaging microscale structures but struggles with rapidly moving nanoscale objects, whereas iSCAT, based on backward scattering (BS), is highly sensitive to nanoscale dynamics but lacks the ability to comprehensively image microscale structures. Here, we introduce bidirectional quantitative scattering microscopy (BiQSM), an approach that integrates FS and BS detection using off-axis digital holography with bidirectional illumination and spatial-frequency multiplexing. BiQSM achieves spatiotemporal consistency and a dynamic range 14 times wider than QPM, enabling simultaneous imaging of nanoscale and microscale cellular components. We demonstrate BiQSM's ability to reveal spatiotemporal behaviors of intracellular structures and small particles using FS and BS images. Time-lapse imaging of dying cells further highlights BiQSM's potential as a label-free tool for monitoring cellular vital states through structural and motion-related changes. By bridging the strengths of QPM and iSCAT, BiQSM advances quantitative cellular imaging, opening avenues for studying dynamic biological processes.

Indexed as

MicroscopyHolographyHumansInterferometryMicroscopy, InterferenceTime-Lapse Imaging

Identifiers

PMID41238576
PMCPMC12618536

What OpenQuestion holds

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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.