Quantification of collagen fiber organization using three-dimensional Fourier transform-second-harmonic generation imaging

Lau, Tung Yuen; Ambekar, Raghu; Toussaint, Kimani C.

doi:10.1364/oe.20.021821

Cited by 56 publications

(52 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The inset zooms in the region with great stack sizes for a better reading of the exact computational cost. When compared to a Fourier-based algorithm [27], which provides an average orientation of each ROI and not each voxel, the 3D vector summation technique has improved computational time. Specifically, the computational time required by the Fourier-based algorithm to analyze a 256 256 96 × × voxel stack is approximately 1.5 min on a desktop computer with a 3.4 GHz processor and 8 GB of RAM [27], while the time required by the vector summation technique with exactly the same configuration of a computer is 59 sec , using a window of 13 13 13 × × voxels.…”

Section: Resultsmentioning

confidence: 99%

“…Fourier transform (FT) based approaches are commonly applied for 2D orientation analysis, and they have been extended to 3D fiber characterization of second harmonic generation (SHG) images [27]. For such methods, the image stack is first divided to create a set of regions of interest (ROIs), and the overall orientation of collagen fibers within each ROI is determined by the filter bank method [27].…”

Section: Introductionmentioning

confidence: 99%

“…For such methods, the image stack is first divided to create a set of regions of interest (ROIs), and the overall orientation of collagen fibers within each ROI is determined by the filter bank method [27]. The filter bank consists of various 3D orientation filters constructed in the Fourier space.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Rapid three-dimensional quantification of voxel-wise collagen fiber orientation

Liu¹,

Quinn²,

Speroni³

et al. 2015

Biomed. Opt. Express

View full text Add to dashboard Cite

Abstract:Defining fiber orientation at each voxel within a 3D biomedical image stack is potentially useful for a variety of applications, including cancer, wound healing and tissue regeneration. Current methods are typically computationally intensive or inaccurate. Herein, we present a 3D weighted orientation vector summation algorithm, which is a generalization of a previously reported 2D vector summation technique aimed at quantifying collagen fiber orientations simultaneously at each voxel of an image stack. As a result, voxel-wise fiber orientation information with 4° to 5° accuracy can be determined, and the computational time required to analyze a typical stack with the size of 512x512x100 voxels is less than 5 min. Thus, this technique enables the practical extraction of voxel-specific orientation data for characterizing structural anisotropy in 3D specimens. As examples, we use this approach to characterize the fiber organization in an excised mouse mammary gland and a 3D breast tissue model. Schanne-Klein, "Three-dimensional investigation and scoring of extracellular matrix remodeling during lung fibrosis using multiphoton microscopy," Microsc.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Rapid three-dimensional quantification of voxel-wise collagen fiber orientation

Liu¹,

Quinn²,

Speroni³

et al. 2015

Biomed. Opt. Express

View full text Add to dashboard Cite

show abstract

“…These methods exhibit spatial resolutions that enable imaging of the ultrastructure of bone, where the ultrastructural elements (mineralized collagen fibrils or fibril bundles) can be visually identified. Quantification of the orientation and arrangement of the ultrastructure is performed by image post-processing of the acquired images, either through specialized orientationsensitive algorithms [53][54][55] or, most commonly, through two-dimensional (2D) or 3D Fourier transform (FT) [56], which allow the orientation and degree of orientation (DO) to be derived [57][58][59][60]. It should be noted that the indirect assessment of the organization of mineralized collagen fibrils by imaging techniques can lead to artefacts, which are discussed in the introduction of the respective subsection.…”

Section: Technique Categorizationmentioning

confidence: 99%

Techniques to assess bone ultrastructure organization: orientation and arrangement of mineralized collagen fibrils

Georgiadis

Müller

Schneider

2016

J. R. Soc. Interface.

112

100

View full text Add to dashboard Cite

Bone's remarkable mechanical properties are a result of its hierarchical structure. The mineralized collagen fibrils, made up of collagen fibrils and crystal platelets, are bone's building blocks at an ultrastructural level. The organization of bone's ultrastructure with respect to the orientation and arrangement of mineralized collagen fibrils has been the matter of numerous studies based on a variety of imaging techniques in the past decades. These techniques either exploit physical principles, such as polarization, diffraction or scattering to examine bone ultrastructure orientation and arrangement, or directly image the fibrils at the sub-micrometre scale. They make use of diverse probes such as visible light, X-rays and electrons at different scales, from centimetres down to nanometres. They allow imaging of bone sections or surfaces in two dimensions or investigating bone tissue truly in three dimensions, in vivo or ex vivo, and sometimes in combination with in situ mechanical experiments. The purpose of this review is to summarize and discuss this broad range of imaging techniques and the different modalities of their use, in order to discuss their advantages and limitations for the assessment of bone ultrastructure organization with respect to the orientation and arrangement of mineralized collagen fibrils.

show abstract

“…Recently, we have developed a quantitative SHG imaging and analysis technique using Fast Fourier Transformation (FT-SHG) [8] to quantify and analyze collagen fiber organization in horse tendons [5,9]. Similar investigation was performed at different levels in a multitude of organisms where collagen plays a pivotal role in maintaining the integrity of tissue structure such as rat tail tendon [10] and porcine tendon [11]. Automated SHG imaging analysis has been developed to quantify the amount of matrix disorganization in rat patellar [12], rat tail tendons, mouse skin, bovine corneas, and human corneas [10].…”

Section: Introductionmentioning

confidence: 99%

Quantitative Analysis of Tendon Structural Integrity in Chickens using Fourier Transform-Second Harmonic Generation Imaging

Sivaguru¹

2014

Cell Dev Biol

View full text Add to dashboard Cite

Degenerative changes in tendons are common in human and land-dwelling vertebrates of all species, and are associated with both age and use. Tendon rupture and inflammation are common causes of lameness in broilers and breeders at multiple ages and has become a very important issue in the poultry industry attempts to analyze tendon health have relied primarily on visual assessment. The ability to conduct meaningful experiments on causes and interventions would be much improved by a direct assay of tendon structural integrity. The objective of this study is to test whether we can use Fourier transform-second harmonic generation (FT-SHG) imaging technique to quantify the differences in collagen fiber organization and nuclei morphology between normal and injured chicken tendons. Tendon injury/degeneration was induced by rearing chickens in wire-floor pens and feeding them an oxidized fat diet. Injured tendons had greater collagen fiber degradation/degeneration; more randomly organized collagen fibers, higher cellularity and more circular-shaped nuclei than normal tendons, indicating loss of collagen tertiary structure and lateral compression in injured tendons. Therefore, analysis of collagen fiber organization and nuclear morphology using FT-SHG imaging is a potential diagnostic tool to evaluate tendon structural health and to test the effects of nutrients and intervention strategies on the structural development of tendons in chickens.

show abstract

Quantification of collagen fiber organization using three-dimensional Fourier transform-second-harmonic generation imaging

Cited by 56 publications

References 46 publications

Rapid three-dimensional quantification of voxel-wise collagen fiber orientation

Rapid three-dimensional quantification of voxel-wise collagen fiber orientation

Techniques to assess bone ultrastructure organization: orientation and arrangement of mineralized collagen fibrils

Quantitative Analysis of Tendon Structural Integrity in Chickens using Fourier Transform-Second Harmonic Generation Imaging

Contact Info

Product

Resources

About