ArticleBiomedical optics express2026
Compact FPGA-based software correlator for real-time blood flow measurement with diffuse correlation spectroscopy.
Article in Biomedical optics express, 2026. 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.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Diffuse correlation spectroscopy (DCS) enables noninvasive measurement of deep tissue blood flow, but high-speed and multi-channel implementations are often constrained by data throughput. We present an FPGA-based compressed DCS architecture for fast, high-throughput real-time measurements of intensity autocorrelation functions that leverages parity-based 1-bit photon counting to exploit sparse photon arrivals. The system is validated by direct comparison with a conventional research-grade DCS instrument with experiments on solid and liquid tissue-simulating phantoms and
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.