Reference health

Deep learning-enabled point-of-care sensing using multiplexed paper-based sensors

https://doi.org/10.1038/s41746-020-0274-y
CiteStamped reference-health badge
45/45 checkable references clean · checked 2026-07-23

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

6 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 45 checked references that resolve
resolves10.1016/j.media.2017.07.005
A survey on deep learning in medical image analysis
resolves10.1001/jama.2017.14585
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
resolves10.1093/jnci/djy225
An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening
resolves10.1038/s41377-019-0129-y
PhaseStain: the digital staining of label-free quantitative phase microscopy images using deep learning
resolves10.1038/s41551-019-0362-y
Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning
resolves10.1016/j.plabm.2015.12.002
Practical challenges related to point of care testing
resolves10.1039/b705672a
Sample preparation: a challenge in the development of point-of-care nucleic acid-based assays for resource-limited settings
resolves10.1586/14737159.2016.1142877
Advances in addressing technical challenges of point-of-care diagnostics in resource-limited settings
resolves10.1093/infdis/jis044
Opportunities and Challenges for Cost-Efficient Implementation of New Point-of-Care Diagnostics for HIV and Tuberculosis
resolves10.1146/annurev.bioeng.10.061807.160524
Point-of-Care Diagnostics for Global Health
resolves10.1128/JCM.00476-17
Point-of-Care Testing for Infectious Diseases: Past, Present, and Future
resolves10.1039/C6LC00737F
Paper-based sensors and assays: a success of the engineering design and the convergence of knowledge areas
resolves10.1021/ac9013989
Diagnostics for the Developing World: Microfluidic Paper-Based Analytical Devices
resolves10.1016/j.bios.2017.05.001
Paper based diagnostics for personalized health care: Emerging technologies and commercial aspects
resolves10.1039/C8RA06132G
The potential of paper-based diagnostics to meet the ASSURED criteria
resolves10.3390/s18113607
Key Enabling Technologies for Point-of-Care Diagnostics
resolves10.1016/j.jim.2009.06.003
The fundamental flaws of immunoassays and potential solutions using tandem mass spectrometry
resolves10.1016/0022-1759(92)90104-2
Studies of the ‘hook’ effect in the one-step sandwich immunoassay
resolves10.1258/000456306777695726
The hook effect: a need for constant vigilance
resolves10.1021/acs.analchem.7b00638
Mitigating the Hook Effect in Lateral Flow Sandwich Immunoassays Using Real-Time Reaction Kinetics
resolves10.7150/thno.24034
A hook effect-free immunochromatographic assay (HEF-ICA) for measuring the C-reactive protein concentration in one drop of human serum
resolves10.1016/j.bios.2014.04.032
A three-line lateral flow assay strip for the measurement of C-reactive protein covering a broad physiological concentration range in human sera
resolves10.1021/acsnano.5b03203
Cellphone-Based Hand-Held Microplate Reader for Point-of-Care Testing of Enzyme-Linked Immunosorbent Assays
resolves10.1021/acs.accounts.6b00112
Programmable Bio-nanochip Platform: A Point-of-Care Biosensor System with the Capacity To Learn
resolves10.1109/JPROC.2014.2378776
Advances in Smartphone-Based Point-of-Care Diagnostics
resolves10.1039/C2LC40864C
Optical imaging techniques for point-of-care diagnostics
resolves10.1021/acsnano.7b00105
Computational Sensing Using Low-Cost and Mobile Plasmonic Readers Designed by Machine Learning
resolves10.1039/C4LC00010B
Mobile phones democratize and cultivate next-generation imaging, diagnostics and measurement tools
resolves10.1039/c2lc40235a
Integrated rapid-diagnostic-test reader platform on a cellphone
resolves10.1021/acsnano.9b08151
Point-of-Care Serodiagnostic Test for Early-Stage Lyme Disease Using a Multiplexed Paper-Based Immunoassay and Machine Learning
resolves10.1039/C9AN00964G
Algorithms for immunochromatographic assay: review and impact on future application
resolves10.1007/s40820-019-0239-3
Machine Learning Approach to Enhance the Performance of MNP-Labeled Lateral Flow Immunoassay
resolves10.1016/j.jacc.2015.11.037
A Test in Context
resolves10.1016/j.amjcard.2004.03.023
Framingham risk score and prediction of lifetime risk for coronary heart disease
resolves10.1016/j.medici.2015.12.001
Clinical relevance of high sensitivity C-reactive protein in cardiology
resolves10.1161/01.CIR.99.2.237
C-Reactive Protein, a Sensitive Marker of Inflammation, Predicts Future Risk of Coronary Heart Disease in Initially Healthy Middle-Aged Men
resolves10.1016/j.ehj.2014.11.005
C-reactive protein, inflammation and coronary heart disease
resolves10.1046/j.1365-2796.2002.01019.x
Inflammatory bio‐markers and cardiovascular risk prediction
resolves10.3390/s17040684
Rapid and Low-Cost CRP Measurement by Integrating a Paper-Based Microfluidic Immunoassay with Smartphone (CRP-Chip)
resolves10.1016/j.aca.2017.12.031
Quantitative and rapid detection of C-reactive protein using quantum dot-based lateral flow test strip
resolves10.1016/j.ab.2018.06.017
Development of a lateral flow immunoassay of C-reactive protein detection based on red fluorescent nanoparticles
resolves10.1016/j.cccn.2005.01.026
Evaluation of fluorescence hs-CRP immunoassay for point-of-care testing
resolves10.1016/j.bios.2013.10.004
An automatic enzyme immunoassay based on a chemiluminescent lateral flow immunosensor
resolves10.1039/C9LC00011A
Paper-based multiplexed vertical flow assay for point-of-care testing
resolves10.1101/667436
Deep Learning-Enabled Point-of-Care Sensing Using Multiplexed Paper-Based Sensors
The 6 references without a DOI — listed, not checked
no DOI — not checkedRivenson, Y. et al. Deep learning microscopy. Opt., Opt. 4, 1437–1443 (2017).
no DOI — not checkedPaper Diagnostics Market Worth $10.50 Billion by 2025 | CAGR: 8.0%. https://www.grandviewresearch.com/press-release/global-paper-diagnostics-market.
no DOI — not checked2013 ACC/AHA Guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults. Circulation https://www.ahajournals.org/doi/abs/10.1161/01.cir.0000437738.63853.7a (2014).
no DOI — not checkedHealth, C. for D. and R. Guidance Documents (Medical Devices and Radiation-Emitting Products)—Review Criteria for Assessment of C Reactive Protein (CRP), High Sensitivity C-Reactive Protein (hsCRP) and Cardiac C-Reactive Protein (cCRP) Assays—Guidance for Industry and FDA Staff. https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/GuidanceDocuments/ucm077167.htm.
no DOI — not checkedBaldi, P. & Sadowski, P. J. Understanding Dropout. in Advances in Neural Information Processing Systems 26 (eds. Burges, C. J. C. et al.) 2814–2822 (Curran Associates, Inc., 2013).
no DOI — not checkedSrivastava, N. et al. Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15, 1929–1958 (2014).
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

checked 2026-07-23 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record

Embed this badge

Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.

<a href="https://citestamp.com/citestamped/10.1038/s41746-020-0274-y"><img src="https://citestamp.com/citestamped/10.1038/s41746-020-0274-y/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[![CiteStamped reference-health badge](https://citestamp.com/citestamped/10.1038/s41746-020-0274-y/badge.svg)](https://citestamp.com/citestamped/10.1038/s41746-020-0274-y)