Evidence map›Paper›PMID 40331236›Full record

ArticleNeurophotonics2025

A low-cost FPGA-based approach for pile-up corrected high-speed

Felipe Velasquez Moros, Dorian Amiet, Rachel M Meister, Alexandra von Faber-Castell, Matthias Wyss, Aiman S Saab, Paul Zbinden, Bruno Weber, Luca Ravotto

Abstract read
In one paragraph

Article in Neurophotonics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

9 authors.

Felipe Velasquez MorosUniversity of Zurich, Institute of Pharmacology and Toxicology, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-7347-2004
Dorian AmietOST - Eastern Switzerland University of Applied Sciences, IMES Institute for Microelectronics, Embedded Systems and Sensorics, Rapperswil, Switzerland.ORCID https://orcid.org/0000-0002-8427-7511
Rachel M MeisterUniversity of Zurich, Institute of Pharmacology and Toxicology, Zurich, Switzerland.ORCID https://orcid.org/0009-0006-1400-0214
Alexandra von Faber-CastellUniversity of Zurich, Institute of Pharmacology and Toxicology, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-9035-5694
Matthias WyssUniversity of Zurich, Institute of Pharmacology and Toxicology, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-2037-3424
Aiman S SaabUniversity of Zurich, Institute of Pharmacology and Toxicology, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-3886-8369
Paul ZbindenOST - Eastern Switzerland University of Applied Sciences, IMES Institute for Microelectronics, Embedded Systems and Sensorics, Rapperswil, Switzerland.ORCID https://orcid.org/0000-0001-8630-3296
Bruno WeberUniversity of Zurich, Institute of Pharmacology and Toxicology, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-9089-0689
Luca RavottoUniversity of Zurich, Institute of Pharmacology and Toxicology, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-0431-9866

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Intensity-based two-photon microscopy is a cornerstone of neuroscience research but lacks the ability to measure concentrations, a pivotal task for longitudinal studies and quantitative comparisons. Fluorescence lifetime imaging (FLIM) based on time-correlated single photon counting (TCSPC) can overcome those limits but suffers from "pile-up" distortions at high photon count rates, severely limiting acquisition speed. Aim: We introduce the "laser period blind time" (LPBT) method to correct pile-up distortions in photon counting electronics, enabling reliable low-cost TCSPC-FLIM at high count rates. Approach: Using a realistic simulation of the TCSPC data collection, we evaluated the LPBT method's performance Results: The LBPT approach achieves Conclusions: We enable high-precision, cost-effective FLIM imaging at acquisition speeds comparable with state-of-the-art commercial systems, facilitating the adoption of FLIM in neuroscience and other fields of research needing robust quantitative live imaging solutions.

Indexed as

brain metabolismfluorescence lifetime imagingpile-uptwo-photon microscopy

Identifiers

PMID40331236
PMCPMC12052397

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.