ArticleMethods in molecular biology (Clifton, N.J.)2024
Single-Cell PET Imaging and Tracking.
Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed, 1 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
2 authors at 1 institution in 2 countries.
Funding
Abstract
Positron emission tomography (PET) is one of the most sensitive whole-body molecular imaging techniques available in the clinic, able to detect picomolar levels of probe. As such, it was recently demonstrated that PET could also be used to track single radiolabeled cells in small animals. In this protocol, we present detailed procedures for radiolabeling cells using mesoporous silica nanoparticles (MSNs) and for tracking these cells in real time using in vivo PET. This includes static imaging of single cells as well as dynamic tracking of moving cells directly from the list-mode data. The protocol provides detailed instructions and examples for each step.
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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.