Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Methods for High Fidelity Spectral Data Collection for Generating Ground Truth Data for Simulated Tissues

Alex T. Gong, Arjun Dulal, Matthew M. Crane, Troy E. Reihsen, Robert M. Sweet, Alexander R. Mendenhall
doi: https://doi.org/10.1101/2020.02.25.964924
Alex T. Gong
1Center for Research in Education and Simulation Technologies, University of Washington, Seattle, WA 98195, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: atg6@uw.edu
Arjun Dulal
1Center for Research in Education and Simulation Technologies, University of Washington, Seattle, WA 98195, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Matthew M. Crane
3Department of Pathology, University of Washington, Seattle, WA 98195, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Troy E. Reihsen
1Center for Research in Education and Simulation Technologies, University of Washington, Seattle, WA 98195, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Robert M. Sweet
1Center for Research in Education and Simulation Technologies, University of Washington, Seattle, WA 98195, USA
2Department of Urology, University of Washington, Seattle, WA 98195, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alexander R. Mendenhall
3Department of Pathology, University of Washington, Seattle, WA 98195, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

ABSTRACT

Our research is focused on creating and simulating hyper-realistic artificial human tissue analogues. Generation and simulation of macroscopic biological material depends upon accurate ground-truth data on spectral properties of materials. Here, we developed methods for high fidelity spectral data collection using two differently colored simulated skin tissue samples and a portable spectral imaging camera. Using the standard procedure, we developed, we quantified the reproducibility of the spectral image signatures of the two synthetic skin samples under natural and artificial lighting conditions commonly found in clinical settings. We found high coefficients of determination for all measures taken under the same lighting. As expected, we found the spectral image signature of each sample was dependent on the illumination source. Our results confirm that illumination spectra data should be included with spectral image data. The high-fidelity methods for spectral image data collection we developed here should facilitate accurate collection of spectral image signature data for gross biological samples and synthetic materials collected under the same illumination source.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Back to top
PreviousNext
Posted February 26, 2020.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Methods for High Fidelity Spectral Data Collection for Generating Ground Truth Data for Simulated Tissues
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Methods for High Fidelity Spectral Data Collection for Generating Ground Truth Data for Simulated Tissues
Alex T. Gong, Arjun Dulal, Matthew M. Crane, Troy E. Reihsen, Robert M. Sweet, Alexander R. Mendenhall
bioRxiv 2020.02.25.964924; doi: https://doi.org/10.1101/2020.02.25.964924
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Methods for High Fidelity Spectral Data Collection for Generating Ground Truth Data for Simulated Tissues
Alex T. Gong, Arjun Dulal, Matthew M. Crane, Troy E. Reihsen, Robert M. Sweet, Alexander R. Mendenhall
bioRxiv 2020.02.25.964924; doi: https://doi.org/10.1101/2020.02.25.964924

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Bioengineering
Subject Areas
All Articles
  • Animal Behavior and Cognition (4864)
  • Biochemistry (10821)
  • Bioengineering (8061)
  • Bioinformatics (27369)
  • Biophysics (14014)
  • Cancer Biology (11157)
  • Cell Biology (16094)
  • Clinical Trials (138)
  • Developmental Biology (8806)
  • Ecology (13322)
  • Epidemiology (2067)
  • Evolutionary Biology (17389)
  • Genetics (11704)
  • Genomics (15957)
  • Immunology (11057)
  • Microbiology (26148)
  • Molecular Biology (10674)
  • Neuroscience (56714)
  • Paleontology (422)
  • Pathology (1737)
  • Pharmacology and Toxicology (3012)
  • Physiology (4566)
  • Plant Biology (9662)
  • Scientific Communication and Education (1617)
  • Synthetic Biology (2697)
  • Systems Biology (6993)
  • Zoology (1513)