Evidence map›Paper›PMID 36129868›Full record

ArticleIEEE transactions on bio-medical engineering2023

Lens Free Holographic Imaging for Urinary Tract Infection Screening.

Gregory N McKay, Anisha Oommen, Carolina Pacheco, Mason T Chen, Stuart C Ray, Rene Vidal, Benjamin D Haeffele, Nicholas J Durr

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact, top 95% 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

4 citing papers in PubMed, 0 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Gregory N McKay
Anisha Oommen
Carolina Pacheco
Mason T Chen
Stuart C Ray
Rene Vidal
Benjamin D Haeffele
Nicholas J Durr
Johns Hopkins University · US

Funding

Medical Scientist Training ProgramT32GM136577 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ANDREA L COX · 2020 to 2026
$13.4M
SCH: A Computer Vision and Lens-Free Imaging System for Automatic Monitoring of InfectionsR01AG067396 · NIA · JOHNS HOPKINS UNIVERSITY · PI HAEFFELE, BENJAMIN D, RAY, STUART C · 2019 to 2022
$1.1M
SCH: Computer Vision Algorithms to Detect Tics In Patients with Tourette SyndromeR01NS135613 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Joseph McGuire, Rene Vidal · 2023 to 2026
$900k
NIA NIH HHS R01 AG067396NIGMS NIH HHS T32 GM136577NINDS NIH HHS R01 NS135613
6 · The paper itself

Abstract

objectiveThe diagnosis of urinary tract infection (UTI) currently requires precise specimen collection, handling infectious human waste, controlled urine storage, and timely transportation to modern laboratory equipment for analysis. Here we investigate holographic lens free imaging (LFI) to show its promise for enabling automatic urine analysis at the patient bedside.

methodsWe introduce an LFI system capable of resolving important urine clinical biomarkers such as red blood cells, white blood cells, crystals, and casts in 2 mm thick urine phantoms.

resultsThis approach is sensitive to the particulate concentrations relevant for detecting several clinical urine abnormalities such as hematuria and pyuria, linearly correlating to ground truth hemacytometer measurements with R

conclusionLFI is sensitive to clinically-relevant concentrations of bacteria, blood cells, and other sediment in large urine volumes. SIGNIFICANCE: Together, these results show promise for LFI as a tool for urine screening, potentially offering early, point-of-care detection of UTI and other pathological processes.

Indexed as

UrinalysisUrinary Tract InfectionsHolographyHumansPoint-of-Care TestingSensitivity and SpecificityUrine

Identifiers

PMID36129868
PMCPMC10027617
OpenAlexW4226341303

What OpenQuestion holds

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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.