ArticlePhotonics research2025
High area and volumetric throughput parallel two-photon fluorescence microscopy using silicon photomultiplier arrays.
Article in Photonics research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed.
- Diagnostic accuracy of two-photon fluorescence microscopy in Mohs surgery of basal cell carcinomas.Journal of the American Academy of Dermatology · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Two-photon fluorescence microscopy (TPFM) is widely used for imaging of biological tissue due to its robustness to scattering, high resolution, and ease of multiplexing fluorescent probes. However, TPFM volumetric imaging rates are typically low, limiting the ability to image whole cleared tissues and large surgical specimens. While innovations in TPFM technology, such as parallel-scanning, have drastically increased imaging speed, these improvements have typically focused on high frame rate, single field-of-view imaging rather than extending the area/volume imaging rate. In this work, we bridge the gap between high imaging speed and high area and volumetric imaging throughput by combining parallel scanning with tilted-plane strip-scanning using custom silicon photomultiplier (SiPM) tiled-array detectors. We demonstrate 200 MP/s with four spectral channels (800 MSpectra/s) and an effective area imaging speed of up to 52 mm
Identifiers
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Registered trials
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.