ArticleACS nano2008
Spectral analysis of multiplex Raman probe signatures.
Article in ACS nano, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
What it found
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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.
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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.
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Who cites it
43 citing papers in PubMed, 136 citations in OpenAlex.
- A Raman-based endoscopic strategy for multiplexed molecular imaging.Proceedings of the National Academy of Sciences of the United States of America · 2013Trial
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- Pushing the Limits of Lateral Flow Immunoassay by Digital SERS for the Ultralow Detection of SARS-CoV-2 Virus.Small science · 2024Article
- The evolution of immune profiling: will there be a role for nanoparticles?Nanoscale horizons · 2024Review
- Acoustic separation and concentration of exosomes for nucleotide detection: ASCENDx.Science advances · 2024Article
- Surface-Enhanced Raman Spectroscopy-Based Detection of Micro-RNA Biomarkers for Biomedical Diagnosis Using a Comparative Study of Interpretable Machine Learning Algorithms.Applied spectroscopy · 2024Article
- Tunable Tamm plasmon cavity as a scalable biosensing platform for surface enhanced resonance Raman spectroscopy.Nature communications · 2023Article
- Multiplex SERS detection of polycyclic aromatic hydrocarbon (PAH) pollutants in water samples using gold nanostars and machine learning analysis.The Analyst · 2023Article
- Machine learning using convolutional neural networks for SERS analysis of biomarkers in medical diagnostics.Journal of Raman spectroscopy : JRS · 2022Article
- Microfluidic SERS devices: brightening the future of bioanalysis.Discover materials · 2022Review
- Noninvasive and Highly Multiplexed Five-Color Tumor Imaging of Multicore Near-Infrared Resonant Surface-Enhanced Raman NanoparticlesACS nano · 2021Article
- Effect of Varying Expression of EpCAM on the Efficiency of CTCs Detection by SERS-Based Immunomagnetic Optofluidic Device.Cancers · 2020Article
- Cancer Diagnosis through SERS and Other Related Techniques.International journal of molecular sciences · 2020Review
- Present and Future of Surface-Enhanced Raman Scattering.ACS nano · 2020Article
- Polymerase chain reaction - surface-enhanced Raman spectroscopy (PCR-SERS) method for gene methylation level detection in plasma.Theranostics · 2020Article
- Reporter Selection for Nanotags in Multiplexed Surface Enhanced Raman Spectroscopy Assays.ACS omega · 2018Article
- Introducing 12 new dyes for use with oligonucleotide functionalised silver nanoparticles for DNA detection with SERS.RSC advances · 2018Article
- Surface Enhanced Raman Spectroscopy (SERS) for the Multiplex Detection of Braf, Kras, and Pik3ca Mutations in Plasma of Colorectal Cancer Patients.Theranostics · 2018Article
- Multiplexed Optical Imaging of Tumor-Directed Nanoparticles: A Review of Imaging Systems and Approaches.Nanotheranostics · 2017Review
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Raman nanoparticle probes are an emerging new class of optical labels for interrogation of physiological and pathological processes in bioassays, cells, and tissues. Although their unique emission signatures are ideal for multiplexing, the full potential of these probes has not been realized because conventional analysis methods are inadequate. We report a novel spectral fitting method that exploits the entire spectral signature to quantitatively extract individual probe signals from multiplex spectra. We evaluate the method in a series of multiplex assays using unconjugated and antibody-conjugated composite organic-inorganic nanoparticles (COINs). Results show sensitive multiplex detection of small signals (<2% of total signal) and similar detection limits in corresponding 4-plex and singlet plate binding assays. In a triplex assay on formalin-fixed human prostate tissue, two antibody-conjugated COINs and a conventional fluorophore are used to image expression of prostate-specific antigen, cytokeratin-18, and DNA. The spectral analysis method effectively removes tissue autofluorescence and other unknown background, allowing accurate and reproducible imaging (area under ROC curve 0.89 +/- 0.03) at subcellular spatial resolution. In all assay systems, the error attributable to spectral analysis constitutes <or=2% of total signal. The spectral fitting method provides (1) quantification of signals from multiplex spectra with overlapping peaks, (2) robust spot-by-spot removal of unknown background, (3) the opportunity to quantitatively assess the analysis error, (4) elimination of operator bias, and (5) simple automation appropriate for high-throughput analysis. The simple implementation and universal applicability of this approach significantly expands the potential of Raman probes for quantitative in vivo and ex vivo multiplex analysis.
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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.