Evidence map›Paper›PMID 42027797›Full record

ArticleHardwareX2026

OCTAVie: Open-source Capture Technology for Animal Vocalization in ultrasonic range.

Laura Durieux, Jean-Baptiste Kammerer, Simon Schmitt, Denis Muller, Alexandra Barbelivien, Monique Majchrzak, François Stock, Frederic Antoni

Abstract read
In one paragraph

Article in HardwareX, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Laura DurieuxUniversité de Strasbourg, Centre National de La Recherche Scientifique, ICube Laboratory, UMR 7357, Strasbourg, France.
Jean-Baptiste KammererUniversité de Strasbourg, Centre National de La Recherche Scientifique, ICube Laboratory, UMR 7357, Strasbourg, France.
Simon SchmittFabLab l'Atelier, Faculty of Physics and Engineering, Université de Strasbourg, Strasbourg, France.
Denis MullerFaculty of Physics and Engineering, Université de Strasbourg, Strasbourg, France.
Alexandra BarbelivienUniversité de Strasbourg, Centre National de La Recherche Scientifique, Laboratoire de Neurosciences Cognitives Et Adaptatives (LNCA), UMR 7364, Strasbourg, France.
Monique MajchrzakUniversité de Strasbourg, Centre National de La Recherche Scientifique, Laboratoire de Neurosciences Cognitives Et Adaptatives (LNCA), UMR 7364, Strasbourg, France.
François StockUniversité de Strasbourg, Centre National de La Recherche Scientifique, ICube Laboratory, UMR 7357, Strasbourg, France.
Frederic AntoniUniversité de Strasbourg, Centre National de La Recherche Scientifique, ICube Laboratory, UMR 7357, Strasbourg, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasonic vocalizations (USVs) in rodents are a key tool in neuroscience for investigating emotion, social behavior, and disease models. However, commercial recording systems remain expensive and generate massive datasets that require heavy post-processing. We present an open-hardware acquisition chain-from microphone to computer-designed to compute and display sonograms in near real time, thus reducing both storage needs and analysis workload. The system integrates (i) a custom ultrasonic microphone capable of detecting signals up to 100 kHz, (ii) a dedicated analog front-end with band-pass and anti-aliasing filtering, (iii) an Intel® Cyclone V GX FPGA implementing on-board Fast Fourier Transform processing and power calculation, and (iv) a lightweight software interface for data transfer and visualization. All design files, including Printed Circuit Board (PCB) layouts, VHDL codes, and C software, are openly released to ensure reproducibility. Compared to traditional microcontroller-based acquisitions, this architecture reduces raw data storage by more than 50% while maintaining a frequency resolution of ∼0.39 kHz and a temporal resolution of ∼2.5 ms - sufficient to resolve both 22 kHz and 50 kHz USVs. Validated with synthetic signals and experimental recordings, the platform provides neuroscientists with a low-cost, modular, and fully transparent tool for studying ultrasonic communication.

Indexed as

FPGAMicrophoneNeuroscienceOpen-hardwareReal-time sonogramUltrasonic vocalizations

Identifiers

PMID42027797
PMCPMC13101665

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.