Evidence map›Paper›PMID 38553572›Full record

ArticleScientific reports2024

Blood-inspired random bit generation using microfluidics system.

Inkwon Yoon, Jong Hyeok Han, Byeong Uk Park, Hee-Jae Jeon

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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

4 authors.

Inkwon YoonDepartment of Mechanical and Biomedical Engineering, Kangwon National University, Chuncheon, 24341, Korea.
Jong Hyeok HanDepartment of Mechanical and Biomedical Engineering, Kangwon National University, Chuncheon, 24341, Korea.
Byeong Uk ParkDepartment of Mechanical and Biomedical Engineering, Kangwon National University, Chuncheon, 24341, Korea.
Hee-Jae JeonDepartment of Mechanical and Biomedical Engineering, Kangwon National University, Chuncheon, 24341, Korea. jeon22@kangwon.ac.kr.

Funding

IITP and funded by the Ministry of Science and ICT (MSIT) IITP-2023-RS-2023-00260267Korea and Regional Innovation Strategy (RIS) 2022RIS-005the National Research Foundation of Korea (NRF) grant under the auspices of the Korea government (MEST) RS-2023-00213379
6 · The paper itself

Abstract

The development of random number generators (RNGs) using speckle patterns is pivotal for secure encryption key generation, drawing from the recent statistical properties identified in speckle-based imaging. Speckle-based RNG systems generate a sequence of random numbers through the unpredictable and reproducible nature of speckle patterns, ensuring a source of randomness that is independent of algorithms. However, to guarantee their effectiveness and reliability, these systems demand a meticulous and rigorous approach. In this study, we present a blood-inspired RNG system with a microfluidics device, designed to generate random numbers at a rate of 5.5 MHz and a high-speed of 1250 fps. This process is achieved by directing a laser beam through a volumetric scattering medium to procure speckle patterns. Additionally, designed microfluidic device requires only a minimal blood sample of 5 µl to capture these speckle patterns effectively. After implementing the two-pass tuple-output von Neumann debiasing algorithm to counteract statistical biases, we utilized the randomness statistical test suite from the National Institute of Standards and Technology for validation. The generated numbers successfully passed these tests, ensuring their randomness and unpredictability. Our blood-inspired RNG, utilizing whole blood, offers a pathway for affordable, high-output applications in fields like encryption, computer security, and data protection.

Indexed as

Decorrelation timeLaser speckle imageRandom number generationWhole blood

Identifiers

PMID38553572
PMCPMC10980712

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.