Evidence map›Paper›PMID 29657866›Full record

ArticleLight, science & applications2015

Portable lensless wide-field microscopy imaging platform based on digital inline holography and multi-frame pixel super-resolution.

Antonio C Sobieranski, Fatih Inci, H Cumhur Tekin, Mehmet Yuksekkaya, Eros Comunello, Daniel Cobra, Aldo von Wangenheim, Utkan Demirci

Abstract read
In one paragraph

Article in Light, science & applications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Review
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  12. Machine Learning with Optical Phase Signatures for Phenotypic Profiling of Cell Lines.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2019
    Article
  13. Article
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  15. A Novel On-Chip Method for Differential Extraction of Sperm in Forensic Cases.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2018
    Article
  16. Article
  17. 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

8 authors.

Antonio C SobieranskiDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Division of Biomedical Engineering, Division of Renal Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Fatih InciDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Stanford University School of Medicine, Canary Center at Stanford for Cancer Early Detection, Palo Alto, CA, USA.
H Cumhur TekinDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Stanford University School of Medicine, Canary Center at Stanford for Cancer Early Detection, Palo Alto, CA, USA.
Mehmet YuksekkayaDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Division of Biomedical Engineering, Division of Renal Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Eros ComunelloINCoD - National Brazilian Institute for Digital Convergence/LAPIX, Image Processing and Computer Graphics Lab, Federal University of Santa Catarina, Brazil.
Daniel CobraCERTI Foundation, Florianopolis, Brazil.
Aldo von WangenheimINCoD - National Brazilian Institute for Digital Convergence/LAPIX, Image Processing and Computer Graphics Lab, Federal University of Santa Catarina, Brazil.
Utkan DemirciDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Division of Biomedical Engineering, Division of Renal Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

Funding

Rapid Fluorescence-Based Determination of Antibiotic SusceptibilityU54EB015408 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI PARRISH, JOHN A, SCHACHTER, STEVEN · 2012 to 2022
$49.2M
Point-of-Care Rapid Blood Testing Using Microfluidic DevicesR01AI081534 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI DEMIRCI, UTKAN · 2009 to 2013
$2.1M
Novel disposable microchips for HIV-1 viral loadR01AI093282 · NIAID · STANFORD UNIVERSITY · PI DEMIRCI, UTKAN · 2012 to 2015
$1.7M
Antibody-based cell purification at resource limited setting for HIVR21AI087107 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI DEMIRCI, UTKAN · 2010 to 2011
$488k
NIAID NIH HHS R01 AI081534NIAID NIH HHS R01 AI093282NIAID NIH HHS R21 AI087107NIBIB NIH HHS U54 EB015408
6 · The paper itself

Abstract

In this paper, an irregular displacement-based lensless wide-field microscopy imaging platform is presented by combining digital in-line holography and computational pixel super-resolution using multi-frame processing. The samples are illuminated by a nearly coherent illumination system, where the hologram shadows are projected into a complementary metal-oxide semiconductor-based imaging sensor. To increase the resolution, a multi-frame pixel resolution approach is employed to produce a single holographic image from multiple frame observations of the scene, with small planar displacements. Displacements are resolved by a hybrid approach: (i) alignment of the LR images by a fast feature-based registration method, and (ii) fine adjustment of the sub-pixel information using a continuous optimization approach designed to find the global optimum solution. Numerical method for phase-retrieval is applied to decode the signal and reconstruct the morphological details of the analyzed sample. The presented approach was evaluated with various biological samples including sperm and platelets, whose dimensions are in the order of a few microns. The obtained results demonstrate a spatial resolution of 1.55 µm on a field-of-view of ≈30 mm

Indexed as

digital in-line holographyimage registrationlensless imagingpixel super-resolutionpoint-of-care platform

Identifiers

PMID29657866
PMCPMC5898403

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.