Evidence map›Paper›PMID 40374923›Full record

ArticleCommunications engineering2025

A Quantitative Particle Identification (QPID) spectral autoradiography system.

Stephen S Adler, Noriko Sato, Kwamena E Baidoo, Frank I Lin, Woonghee Lee, Colleen P Olkowski, Freddy E Escorcia, Peter L Choyke

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications engineering, 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

8 authors.

Stephen S AdlerClinical Research Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA. stephen.adler@nih.gov.ORCID http://orcid.org/0000-0002-4399-6923
Noriko SatoMolecular Imaging Branch, National Cancer Institute, Bethesda, MD, USA.
Kwamena E BaidooMolecular Imaging Branch, National Cancer Institute, Bethesda, MD, USA.
Frank I LinMolecular Imaging Branch, National Cancer Institute, Bethesda, MD, USA.
Woonghee LeeMolecular Imaging Branch, National Cancer Institute, Bethesda, MD, USA.ORCID http://orcid.org/0000-0003-0279-5268
Colleen P OlkowskiMolecular Imaging Branch, National Cancer Institute, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-2370-0582
Freddy E EscorciaMolecular Imaging Branch, National Cancer Institute, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-0727-3242
Peter L ChoykeMolecular Imaging Branch, National Cancer Institute, Bethesda, MD, USA.

Funding

U.S. Department of Health and Human Services (U.S. Department of Health & Human Services) Contract No. 75N91019D00024
6 · The paper itself

Abstract

Autoradiography is used to study the distribution and binding of radioisotope tagged ligands in tissue at microscale among other applications. The technology has evolved since its inception when it used analogue film exposure techniques with the introduction of digital imaging systems sensitive to ionizing radiation. We report on the development of our Quantitative Particle Identification spectral autoradiography system (QPID), which is based on the Timepix3 sensor and a gamma detecting scintillation crystal. This autoradiography system leverages the ionizing radiation detection features of the Timepix3 to measure the energy deposition from charged particles from radioisotopes with a time resolution of 7.7 ns full width at half max (FWHM), generating spectral or activity autoradiography images. The QPID includes a scintillation crystal used to record gamma emissions coincident with the Timepix3 ionization events with a time resolution of 24.2 ns FWHM. The QPID can separate tracks between α and ß particles, select specific ranges of deposited energies or select on the presence of coincident gamma emissions within a selected energy range when generating images. The QPID has a 10% linearity response up to 700 Bq for 223Ra and 2.5 kBq for 18 F radioisotopes. Using α and ß+ particle identification filters, separate images of

Identifiers

PMID40374923
PMCPMC12081844

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Registered trials

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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.