RT Journal Article
SR Electronic
T1 Methods for High Fidelity Spectral Data Collection for Generating Ground Truth Data for Simulated Tissues
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2020.02.25.964924
DO 10.1101/2020.02.25.964924
A1 Alex T. Gong
A1 Arjun Dulal
A1 Matthew M. Crane
A1 Troy E. Reihsen
A1 Robert M. Sweet
A1 Alexander R. Mendenhall
YR 2020
UL http://biorxiv.org/content/early/2020/02/26/2020.02.25.964924.abstract
AB 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.