ArticleJournal of the American Association for Laboratory Animal Science : JAALAS2010
A system for implanting laboratory mice with light-activated microtransponders.
Article in Journal of the American Association for Laboratory Animal Science : JAALAS, 2010. 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.
- Scanning efficacy of p-Chips implanted in the wing and leg of the Big Brown Bat (Journal of mammalogy · 2024Article
- Nesting behavior is associated with body weight and grip strength loss in mice suffering from experimental arthritis.Scientific reports · 2023Article
- The feeding microstructure of male and female mice.PloS one · 2021Article
- Electronic p-Chip-Based System for Identification of Glass Slides and Tissue Cassettes in Histopathology Laboratories.Journal of pathology informatics · 2018Article
- Tagging of Test Tubes with Electronic p-Chips for Use in Biorepositories.Biopreservation and biobanking · 2017Article
- Article
- zebraflash transgenic lines for in vivo bioluminescence imaging of stem cells and regeneration in adult zebrafish.Development (Cambridge, England) · 2013Article
- Properties of coatings on RFID p-Chips that support plasmonic fluorescence enhancement in bioassays.Analytical and bioanalytical chemistry · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
The mouse is the most commonly used laboratory animal, accounting for up to 80% of all mammals used in research studies. Because rodents generally are group-housed, an efficient system of uniquely identifying individual animals for use in research studies, breeding, and proper colony management is required. Several temporary and permanent methods (for example, ear punching and toe clipping) are available for labeling research mice and other small animals, each with advantages and disadvantages. This report describes a new radiofrequency identification tagging method that uses 500-μm, light-activated microtransponders implanted subcutaneously into the ear or tail of mice. The preferred location for implanting is in the side of the tail, because implantation at this site was simple to perform and was associated with shorter implantation times (average, 53 versus 325 s) and a higher success rate (98% versus 50%) compared with the ear. The main benefits of using light-activated microtransponders over other identification methods, including other radiofrequency identification tags, is their small size, which minimizes stress to the animals during implantation and low cost due to their one-piece (monolithic) design. In addition, the implantation procedure uses a custom-designed 21-gauge needle injector and does not require anesthetization of the mice. We conclude that this method allows improved identification and management of laboratory mice.
Indexed as
Identifiers
21205448PMC2994050What 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.