Evidence map›Paper›PMID 41137886›Full record

ReviewNano convergence2025

From pixels to camera: scaling superconducting nanowire single-photon detectors for imaging at the quantum-limit.

Jun Gao, Jin Chang, Bruno Lopez-Rodriguez, Iman Esmaeil Zadeh, Val Zwiller, Ali W Elshaari

Abstract readReview
In one paragraph

Review in Nano convergence, 2025. 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

6 authors.

Jun GaoDepartment of Applied Physics, KTH Royal Institute of Technology, Albanova University Centre, 106 91, Stockholm, Sweden.
Jin ChangDepartment of Quantum Nanoscience, Kavli Institute of Nanoscience, Delft University of Technology, 2628 CJ, Delft, The Netherlands.
Bruno Lopez-RodriguezDepartment of Imaging Physics (ImPhys), Faculty of Applied Sciences, Delft University of Technology, 2628 CJ, Delft, The Netherlands.
Iman Esmaeil ZadehDepartment of Imaging Physics (ImPhys), Faculty of Applied Sciences, Delft University of Technology, 2628 CJ, Delft, The Netherlands.
Val ZwillerDepartment of Applied Physics, KTH Royal Institute of Technology, Albanova University Centre, 106 91, Stockholm, Sweden.
Ali W ElshaariDepartment of Applied Physics, KTH Royal Institute of Technology, Albanova University Centre, 106 91, Stockholm, Sweden. elshaari@kth.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Superconducting nanowire single-photon detectors (SNSPDs) have emerged as essential devices that push the boundaries of photon detection with unprecedented sensitivity, ultrahigh timing precision, and broad spectral response. Recent advancements in materials engineering, superconducting electronics integration, and cryogenic system design are enabling the evolution of SNSPDs from single-pixel detectors toward scalable arrays and large-format single-photon time tagging cameras. This perspective article surveys the rapidly evolving technological landscape underpinning this transition, focusing on innovative superconducting materials, advanced multiplexed read-out schemes, and emerging cryo-compatible electronics. We highlight how these developments are set to profoundly impact diverse applications, including quantum communication networks, deep-tissue biomedical imaging, single-molecule spectroscopy, remote sensing with unprecedented resolution, and the detection of elusive dark matter signals. By critically discussing both current challenges and promising solutions, we aim to articulate a clear, coherent vision for the next generation of SNSPD-based quantum imaging systems.

Identifiers

PMID41137886
PMCPMC12553670

What OpenQuestion holds

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LicenceCC BY
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.