Evidence map›Paper›PMID 36856600›Full record

ArticleNano letters2023

Combining Acoustic Bioprinting with AI-Assisted Raman Spectroscopy for High-Throughput Identification of Bacteria in Blood.

Fareeha Safir, Nhat Vu, Loza F Tadesse, Kamyar Firouzi, Niaz Banaei, Stefanie S Jeffrey, Amr A E Saleh, Butrus Pierre T Khuri-Yakub, Jennifer A Dionne

Open access · hybridFull text read
In one paragraph

Article in Nano letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
7.6field-weighted citation impact, top 2% of its field
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

28 citing papers in PubMed, 69 citations in OpenAlex.

  1. Article
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  9. Recent Advancements in the SERS-Based Detection ofSensors (Basel, Switzerland) · 2026
    Review
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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

9 authors at 3 institutions in 2 countries.

Fareeha Safir*Department of Mechanical Engineering, Stanford University, Stanford, California 94305, United States.ORCID 0000-0002-8035-5615
Nhat VuPumpkinseed Technologies, Inc., Palo Alto, California 94306, United States.
Loza F TadesseDepartment of Bioengineering, Stanford University School of Medicine and School of Engineering, Stanford, California 94305, United States.
Kamyar FirouziE. L. Ginzton Laboratory, Stanford University, Stanford, California 94305, United States.
Niaz BanaeiDepartment of Pathology, Stanford University School of Medicine, Stanford, 94305 California, United States.
Stefanie S JeffreyDepartment of Surgery, Stanford University School of Medicine, Stanford, California 94305, United States.ORCID 0000-0003-4478-2764
Amr A E SalehDepartment of Engineering Mathematics and Physics, Cairo University, Cairo 12613, Egypt.ORCID 0000-0001-7136-3683
Butrus Pierre T Khuri-YakubE. L. Ginzton Laboratory, Stanford University, Stanford, California 94305, United States.
Jennifer A DionneDepartment of Materials Science and Engineering, Stanford University, Stanford, California 94305, United States.ORCID 0000-0001-5287-4357
Stanford University · USCairo University · EGStanford Health Care · US

Funding

Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Nano-optical reporters of dynamic mechanotransduction in the immune systemDP2AI152072 · NIAID · STANFORD UNIVERSITY · PI DIONNE, JENNIFER A. · 2019 to 2019
$2.3M
NCATS NIH HHS UL1 TR003142NIAID NIH HHS DP2 AI152072
6 · The paper itself

Abstract

Identifying pathogens in complex samples such as blood, urine, and wastewater is critical to detect infection and inform optimal treatment. Surface-enhanced Raman spectroscopy (SERS) and machine learning (ML) can distinguish among multiple pathogen species, but processing complex fluid samples to sensitively and specifically detect pathogens remains an outstanding challenge. Here, we develop an acoustic bioprinter to digitize samples into millions of droplets, each containing just a few cells, which are identified with SERS and ML. We demonstrate rapid printing of 2 pL droplets from solutions containing

Indexed as

BioprintingMetal NanoparticlesArtificial IntelligenceEscherichia coliGoldSpectrum Analysis, RamanStaphylococcus epidermidisGoldacoustic bioprintingbacteriagold nanorodsinfectious diseasemachine learningsurface-enhanced Raman spectroscopy

Identifiers

PMID36856600
PMCPMC10037319
OpenAlexW4322718982

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read20
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.