Evidence map›Paper›PMID 42502191›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Supersampled Scanning Transmission X-Ray Microscopy for High-Resolution Vibration-Independent Time-Resolved Imaging.

Simone Finizio, Benjamin Watts, Benedikt Rösner, Tim A Butcher, Sebastian Wintz, Markus Weigand, Jörg Raabe

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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

7 authors.

Simone FinizioPaul Scherrer Institut, Villigen PSI, Switzerland.ORCID https://orcid.org/0000-0002-1792-0626
Benjamin WattsPaul Scherrer Institut, Villigen PSI, Switzerland.
Benedikt RösnerPaul Scherrer Institut, Villigen PSI, Switzerland.
Tim A ButcherMax Born Institute for Nonlinear Optics and Short Pulse Spectroscopy, Berlin, Germany.
Sebastian WintzHelmholtz Zentrum Berlin für Materialien und Energie, Berlin, Germany.
Markus WeigandHelmholtz Zentrum Berlin für Materialien und Energie, Berlin, Germany.
Jörg RaabePaul Scherrer Institut, Villigen PSI, Switzerland.

Funding

Bundesministerium für Bildung und Forschung 05K16WEDBundesministerium für Bildung und Forschung 05K19WE2Bundesministerium für Bildung und Forschung 05K22WE2European Regional Development FundSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung CRSK-2 227418
6 · The paper itself

Abstract

Scanning transmission x-ray microscopy (STXM) is a nanoscale imaging technique that can utilize several powerful contrast mechanisms for the quantitative mapping of chemical and physical materials properties. Spatial resolutions down to 7 nm at the soft x-ray energy range have been demonstrated. A limiting factor for high-resolution STXM imaging is given by the positioning precision of the sample with respect to the focusing optic, with the current state-of-the-art leading to significant overheads, especially at low pixel dwell times, and being vulnerable to unavoidable external vibration sources. In this work, we present a method called supersampled scanning microscopy that allows for a significant reduction of overhead times while simultaneously removing the effects of vibrational noise by sampling the position of the sample at a rate significantly higher than the vibration spectrum and reconstructing the sample transmission image from the recorded list of positions and detector counts. We demonstrate the performance of the technique with a set of proof-of-concept high-resolution imaging experiments.

Indexed as

high resolution imagingSTXMx‐ray microscopy

Identifiers

PMID42502191
PMCPMC13548941

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.