Evidence map›Paper›PMID 38818330›Full record

ArticleOptica2023

Adaptive time modulation technique for multiplexed on-chip particle detection across scales.

Vahid Ganjalizadeh, Aaron R Hawkins, Holger Schmidt

Abstract read
In one paragraph

Article in Optica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Automated Optofluidic Analysis of Single Extracellular Vesicles for Organoid Culture Monitoring.IEEE journal of selected topics in quantum electronics : a publication of the IEEE Lasers and Electro-optics Society
    Article
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

3 authors.

Vahid GanjalizadehSchool of Engineering, University of California, Santa Cruz, 1156 High Street, Santa Cruz, California, 95064, USA.ORCID 0000-0002-8768-3654
Aaron R HawkinsElectrical and Computer Engineering Department, Brigham Young University, Provo, Utah, 84602, USA.
Holger SchmidtSchool of Engineering, University of California, Santa Cruz, 1156 High Street, Santa Cruz, California, 95064, USA.

Funding

Nanoparticle Tracking Analyzer (NTA) for the Center for Live Cell GenomicsRM1HG011543 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H, SALAMA, SOFIE REDA · 2021 to 2025
$12.0M
Nanopore-based multi-target analysis of Zika virus infectionR01EB028608 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI SCHMIDT, HOLGER · 2019 to 2022
$2.7M
NHGRI NIH HHS RM1 HG011543NIBIB NIH HHS R01 EB028608
6 · The paper itself

Abstract

Integrated optofluidic biosensors have demonstrated ultrasensitivity down to single particle detection and attomolar target concentrations. However, a wide dynamic range is highly desirable in practice and can usually only be achieved by using multiple detection modalities or sacrificing linearity. Here, we demonstrate an analysis technique that uses temporal excitation at two different time scales to simultaneously enable digital and analog detection of fluorescent targets. We demonstrated the seamless detection of nanobeads across eight orders of magnitude from attomolar to nanomolar concentration. Furthermore, a combination of spectrally varying modulation frequencies and a closed-loop feedback system that provides rapid adjustment of excitation laser powers enables multiplex analysis in the presence of vastly different concentrations. We demonstrated this ability to detect across scales via an analysis of a mixture of fluorescent nanobeads at femtomolar and picomolar concentrations. This technique advances the performance and versatility of integrated biosensors, especially toward point-of-use applications.

Identifiers

PMID38818330
PMCPMC11138143

What OpenQuestion holds

Textmetadata
LicenceTDM
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.