Evidence map›Paper›PMID 42850641›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Massively Multiplexed Photonic Chip With Cross-Channel Fusion For Harmonized Biosensing.

Ivan Saetchnikov, Elina Tcherniavskaia, Andreas Ostendorf, Anton Saetchnikov

Abstract read
PubMed Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

4 authors.

Ivan SaetchnikovRadio Physics Department, Belarusian State University, Minsk, Belarus.ORCID https://orcid.org/0000-0003-0329-0763
Elina TcherniavskaiaPhysics Department, Belarusian State University, Minsk, Belarus.ORCID https://orcid.org/0000-0002-3255-4126
Andreas OstendorfApplied Laser Technologies, Ruhr University Bochum, Bochum, Germany.ORCID https://orcid.org/0000-0002-3601-6392
Anton SaetchnikovApplied Laser Technologies, Ruhr University Bochum, Bochum, Germany.ORCID https://orcid.org/0000-0002-8332-1250

Funding

Bundesministerium für Bildung und Forschung 03VP08220German Federal Ministry of Research, Technology and Space (BMFTR)
6 · The paper itself

Abstract

Accurate, label-free analysis of complex biological mixtures is limited by poor multiplexing scalability and inconsistent responses across sensor samples. We introduce a transformative sensing platform that integrates large-scale photonic multiplexing with data-driven analytics to overcome these constraints. Our modular, affordable glass-chip whispering-gallery-mode (WGM) photonic architecture is designed to support simultaneous readout of up to 100 sensing channels comprising over 10 000 high-Q microresonators, exceeding existing multiplexing capabilities by more than two orders of magnitude. The photonic system is reinforced by the novel, cross-platform, deep learning framework BioCCF. It applies cross-channel fusion in biosensing for the first time and enables harmonized operation across heterogeneous chips by leveraging domain adaptation. Using over 200 h of measurements from nine independent chips, we demonstrate chip-independent multiplexed biosensing with 99.3% identification accuracy and relative quantification errors of 10

Indexed as

deep‐learningdomain adaptationfusionharmonized biosensingmultiplexingoptical microresonatorphotonic chiptransformerwhispering gallery mode

Identifiers

PMID42850641

What OpenQuestion holds

Textmetadata
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.