Evidence map›Paper›PMID 28059149›Full record

ArticleScientific reports2017

Volumetric Light-field Encryption at the Microscopic Scale.

Haoyu Li, Changliang Guo, Inbarasan Muniraj, Bryce C Schroeder, John T Sheridan, Shu Jia

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Haoyu LiDepartment of Biomedical Engineering, Stony Brook University, State University of New York, Stony Brook, New York 11794, USA.
Changliang GuoDepartment of Biomedical Engineering, Stony Brook University, State University of New York, Stony Brook, New York 11794, USA.
Inbarasan MunirajSchool of Electrical, Electronic Engineering, IoE2Lab, The SFI-Strategic Research Cluster in Solar Energy Conversion, College of Engineering and Architecture, University College Dublin, Belfield, Dublin 4, Ireland.
Bryce C SchroederDepartment of Biomedical Engineering, Stony Brook University, State University of New York, Stony Brook, New York 11794, USA.
John T SheridanSchool of Electrical, Electronic Engineering, IoE2Lab, The SFI-Strategic Research Cluster in Solar Energy Conversion, College of Engineering and Architecture, University College Dublin, Belfield, Dublin 4, Ireland.
Shu JiaDepartment of Biomedical Engineering, Stony Brook University, State University of New York, Stony Brook, New York 11794, USA.

Funding

Toward Systems Biophotonics: Imaging Biology across High Dimensions and ScalesR35GM124846 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI Shu Jia · 2017 to 2026
$4.0M
NIGMS NIH HHS R35 GM124846
6 · The paper itself

Abstract

We report a light-field based method that allows the optical encryption of three-dimensional (3D) volumetric information at the microscopic scale in a single 2D light-field image. The system consists of a microlens array and an array of random phase/amplitude masks. The method utilizes a wave optics model to account for the dominant diffraction effect at this new scale, and the system point-spread function (PSF) serves as the key for encryption and decryption. We successfully developed and demonstrated a deconvolution algorithm to retrieve both spatially multiplexed discrete data and continuous volumetric data from 2D light-field images. Showing that the method is practical for data transmission and storage, we obtained a faithful reconstruction of the 3D volumetric information from a digital copy of the encrypted light-field image. The method represents a new level of optical encryption, paving the way for broad industrial and biomedical applications in processing and securing 3D data at the microscopic scale.

Identifiers

PMID28059149
PMCPMC5216341

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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.