ArticleJournal of open source software2019
diff_classifier: Parallelization of multi-particle tracking video analyses.
Article in Journal of open source software, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed.
- High-fidelity predictions of diffusion in the brain microenvironment.Biophysical journal · 2024Article
- A rotenone organotypic whole hemisphere slice model of mitochondrial abnormalities in the neonatal brain.Journal of biological engineering · 2024Article
- Organotypic whole hemisphere brain slice models to study the effects of donor age and oxygen-glucose-deprivation on the extracellular properties of cortical and striatal tissue.Journal of biological engineering · 2022Article
- Surfactants influence polymer nanoparticle fate within the brain.Biomaterials · 2021Article
- Multiple Particle Tracking Detects Changes in Brain Extracellular Matrix and Predicts Neurodevelopmental Age.ACS nano · 2021Article
- Microrheology for biomaterial design.APL bioengineering · 2020Review
- Nanoparticle-microglial interaction in the ischemic brain is modulated by injury duration and treatment.Bioengineering & translational medicine · 2020Article
- Predicting in situ nanoparticle behavior using multiple particle tracking and artificial neural networks.Nanoscale · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The diff_classifier package seeks to address the issue of scale-up in multi-particle tracking (MPT) analyses via a parallelization approach. MPT is a powerful analytical tool that has been used in fields ranging from aeronautics to oceanography (Pulford, 2005) allowing researchers to collect spatial and velocity information of moving objects from video datasets. Examples include: Tracking tracers in ocean currents to study fluid flowTracking molecular motors (e.g., myosin, kinesin) to assess motile activityMeasuring intracellular trafficking by tracking membrane vesiclesAssessing microrheological properties by tracking nanoparticle movement.
Identifiers
What OpenQuestion holds
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.