Articular cartilage is an avascular tissue; diffusive transport is critical for its homeostasis. While numerous techniques have been used to quantify diffusivity within porous, hydrated tissues and tissue engineered constructs, these techniques have suffered from issues regarding invasiveness and spatial resolution. In the present study, we implemented and compared two separate correlation spectroscopy techniques, fluorescence correlation spectroscopy (FCS) and raster image correlation spectroscopy (RICS), for the direct, and minimally-invasive quantification of fluorescent solute diffusion in agarose and articular cartilage. Specifically, we quantified the diffusional properties of fluorescein and Alexa Fluor 488-conjugated dextrans (3k and 10k) in aqueous solutions, agarose gels of varying concentration (i.e. 1, 3, 5%), and in different zones of juvenile bovine articular cartilage explants (i.e. superficial, middle, and deep). In agarose, properties of solute diffusion obtained via FCS and RICS were inversely related to molecule size, gel concentration, and applied strain. In cartilage, the diffusional properties of solutes were similarly dependent upon solute size, cartilage zone, and compressive strain; findings that agree with work utilizing other quantification techniques. In conclusion, this study established the utility of FCS and RICS as simple and minimally invasive techniques for quantifying microscale solute diffusivity within agarose constructs and articular cartilage explants.
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Similar content being viewed by others Explore related subjectsDiscover the latest articles and news from researchers in related subjects, suggested using machine learning. AbbreviationsAlexaFluor® 488-conjugated 10 kilodalton dextran
AlexaFluor® 488-conjugated 3 kilodalton dextran
Anomalous diffusion exponent
Diffusion coefficient (time invariant parameter)
Fluorescence correlation spectroscopy
Fluorescence recovery after photobleaching
Transport coefficient (time invariant parameter)
Image correlation spectroscopy
Laser scanning confocal microscopy
Magnetic resonance imaging
Nuclear magnetic resonance
Point spread function
Raster image correlation spectroscopy
Region of interest
Radial waist dimension of the microscope point spread function
Axial waist dimension of the microscope point spread function
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The research reported herein was supported by the NIH under Award Number R21AR062738. Microscopy equipment was acquired through NIH shared instrumentation grants (S10 RR0272773 & S10 OD016361) and access was supported by NIGMS (P20 GM103446). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. We thank Dr. Jeffrey Caplan and Michael Moore in the Delaware Biotechnology Institute Bio-Imaging Center for their technical assistance, as well as Ms. Alison Wright for assisting in the analysis of our correlation spectroscopy data.
Conflict of interestThe authors report no conflicts of interest with the submitted work.
Author information Authors and AffiliationsBiomechanics & Movement Science, University of Delaware, Newark, DE, USA
Janty S. Shoga & Christopher Price
Department of Mechanical Engineering, University of Delaware, Newark, DE, USA
Brian T. Graham, Liyun Wang & Christopher Price
Department of Biomedical Engineering, University of Delaware, 161 Colburn Lab, Newark, DE, 19716, USA
Christopher Price
All authors have read and approved the final submission of the manuscript. The contributions of the authors are described below: Study Design – JS, CP. Acquisition of Data – JS, BG. Analysis and Interpretation – JS, BG, LW, CP. Manuscript Preparation – JS, BG, LW, CP. Statistical Analysis – JS, CP.
Corresponding authorCorrespondence to Christopher Price.
Additional informationAssociate Editor Michael S. Detamore oversaw the review of this article.
Electronic supplementary materialBelow is the link to the electronic supplementary material.
About this article Cite this articleShoga, J.S., Graham, B.T., Wang, L. et al. Direct Quantification of Solute Diffusivity in Agarose and Articular Cartilage Using Correlation Spectroscopy. Ann Biomed Eng 45, 2461–2474 (2017). https://doi.org/10.1007/s10439-017-1869-6
Received: 04 November 2016
Accepted: 07 June 2017
Published: 13 June 2017
Issue Date: October 2017
DOI: https://doi.org/10.1007/s10439-017-1869-6
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