Evidence map›Paper›PMID 40913136›Full record

ReviewNature protocols2026

Quantitative mapping of smooth topographic landscapes generated using thermal scanning-probe lithography.

Camilla H Sørensen, Magnus V Nielsen, Sander J Linde, Duc Hieu Nguyen, Christoffer E Iversen, Robert Jensen, Søren Raza, Peter Bøggild, Timothy J Booth, Nolan Lassaline

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Camilla H Sørensen *Department of Physics, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0009-0005-8972-2185
Magnus V Nielsen *Department of Physics, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0009-0001-5053-0347
Sander J Linde *Department of Physics, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0009-0004-0297-1836
Duc Hieu NguyenDepartment of Physics, Technical University of Denmark, Kongens Lyngby, Denmark.
Christoffer E IversenDepartment of Physics, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0009-0007-4557-4357
Robert JensenDepartment of Physics, Technical University of Denmark, Kongens Lyngby, Denmark.
Søren RazaDepartment of Physics, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0000-0002-0296-7202
Peter BøggildDepartment of Physics, Technical University of Denmark, Kongens Lyngby, Denmark.
Timothy J BoothDepartment of Physics, Technical University of Denmark, Kongens Lyngby, Denmark.
Nolan LassalineDepartment of Physics, Technical University of Denmark, Kongens Lyngby, Denmark. nlasso@dtu.dk.ORCID 0000-0002-5854-3900

Funding

Novo Nordisk Fonden (Novo Nordisk Foundation) BIOMAG NNF21OC0066526Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) Postdoc Mobility P500PT_211105Villum Fonden (Villum Foundation) Villum Experiment 50355
6 · The paper itself

Abstract

Scanning probe microscopy (SPM) is a powerful technique for mapping nanoscale surface properties through tip-sample interactions. Thermal scanning-probe lithography (tSPL) is an advanced SPM variant that uses a silicon tip on a heated cantilever to sculpt and measure the topography of polymer films with nanometer precision. The surfaces produced by tSPL-smooth topographic landscapes-allow mathematically defined contours to be fabricated on the nanoscale, enabling sophisticated functionalities for photonic, electronic, chemical and biological technologies. Evaluating the physical effects of a landscape requires fitting arbitrary mathematical functions to SPM datasets; however, this capability does not exist in standard analysis programs. Here, we provide an open-source software package (FunFit) to fit analytical functions to SPM data and develop a fabrication and characterization protocol based on this analysis. We demonstrate the benefit of this approach by patterning periodic and quasi-periodic landscapes in a polymer resist with tSPL, which we transfer to hexagonal boron nitride (hBN) flakes with high fidelity via reactive ion etching. The topographic landscapes in polymers and hBN are measured with tSPL and atomic force microscopy, respectively. Within the FunFit program, the datasets are corrected for artifacts, fit with analytical functions and compared, providing critical feedback on the fabrication procedure. This approach can improve analysis, reproducibility and process development for a broad range of SPM experiments. The protocol can be performed within a working day by a trained graduate student or researcher, where fabrication and characterization take a few hours, and software analysis takes a few minutes.

Indexed as

Microscopy, Scanning ProbeNanotechnologyBoron CompoundsMicroscopy, Atomic ForcePolymersSoftwareSurface PropertiesBoron Compoundsboron nitridePolymers

Identifiers

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.