Evidence map›Paper›PMID 41748565›Full record

ArticleLight, science & applications2026

Interferometric Image Scanning Microscopy for label-free imaging at 120 nm lateral resolution inside live cells.

Michelle Küppers, W E Moerner

Abstract read
In one paragraph

Article in Light, science & applications, 2026. 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
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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.

Michelle KüppersDepartment of Chemistry, Stanford University, Stanford, CA, USA. mkueppe@stanford.edu.
W E MoernerDepartment of Chemistry, Stanford University, Stanford, CA, USA. wmoerner@stanford.edu.ORCID http://orcid.org/0000-0002-2830-209X

Funding

Single-Molecule Imaging for Cell Biology and Super-Resolution MicroscopyR35GM118067 · NIGMS · STANFORD UNIVERSITY · PI MOERNER, WILLIAM E · 2016 to 2025
$6.2M
NIGMS NIH HHS R35 GM118067U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35-GM118067
6 · The paper itself

Abstract

Light microscopy remains indispensable in life sciences for visualizing cellular structures and dynamics in live specimens. Yet, conventional fluorescence imaging can suffer from phototoxicity, limited labeling efficiency, or perturbation of biological function. Label-free techniques such as interferometric scattering microscopy (iSCAT) offer a powerful alternative by detecting nanoscale structures based on their light scattering, without the need for dyes or genetic tags. iSCAT has enabled high-sensitivity detection of single proteins and viruses on clean surfaces. More recently, its application to live cells has been extended by using confocal illumination and detection, allowing suppression of out-of-focus light, yielding subcellular structures with high contrast. This development laid the foundation for biologically relevant label-free imaging. Here, we introduce interferometric image scanning microscopy (iISM). This next-generation technique combines interferometric detection with image scanning microscopy to achieve about 120 nm lateral resolution while operating at tenfold lower incident illumination power per diffraction limited spot, significantly reducing photodamage while enhancing signal-to-noise and contrast. Using iISM, we are able to visualize intracellular organelles such as the endoplasmic reticulum, actin cytoskeleton, mitochondria, and vesicles in live cells at essentially unlimited observation times. Importantly, iISM can be readily combined with confocal fluorescence microscopy, enabling correlation of label-free dynamics and structural information with molecular specificity. Our approach opens new avenues for studying dynamic biological processes, such as host-pathogen interactions, intracellular trafficking, or cytoskeletal rearrangements, under label-free, near-native conditions. iISM thus offers a powerful new tool for high-resolution, low-impact imaging of live cells, paving the way for new biological insights.

Identifiers

PMID41748565
PMCPMC12946308

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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.