Image analysis pipeline for segmentation of a biological porosity network, the lacuno-canalicular system in stingray tesserae

Schotte, Merlind; Chaumel, Júlia; Dean, Mason N.; Baum, Daniel

doi:10.1016/j.mex.2020.100905

Cited by 2 publications

(7 citation statements)

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“…In scan data, lacunar spaces in tesserae were small, dark (low intensity value) cavities within the brighter (higher intensity value) tesserae (Fig. 2-3; see also [25]). Chondrocytes were not visible in our scans; however, since cells have been observed to nearly fill tesserae lacunae [12,13,17,26] (see also Fig.…”

Section: Lacunae Segmentation Pipelinementioning

confidence: 88%

“…to encompass multiple tesserae) precluded attaining resolution adequate to reliably visualize all canaliculi in a sample. As a result, canaliculi were removed, when visible, during image processing (see the Contour Tree Segmentation and Manual Proof-reading and Filtering steps in [25]); our analysis therefore was focused only on lacunae and their arrangements.…”

Section: Lacunae Segmentation Pipelinementioning

confidence: 99%

“…For these segmentation processes (i.e. of tesserae and lacunar spaces), we combined existing algorithmic and semi-automatic segmentation methods into two pipelines, which we describe in detail in [25]; an illustrated, simplified version of the workflow is presented in Figure 2.…”

Section: Lacunae Segmentation Pipelinementioning

confidence: 99%

“…Lacunar position and orientation variables were calculated using a local right-handed coordinate system for each tessera, constructed as follows. From all voxels that had been assigned to a tessera, including the enclosed lacunae (see the ‗Segmentation of tesserae' section in [25]), we computed the -center of mass‖ (i.e., the average position of all tessera voxels) as the origin of the coordinate system. The tessera's XY plane was oriented parallel to the plane that best approximated the tessera voxels (i.e.…”

Section: Quantification Of Morphology and Orientation Of Lacunaementioning

confidence: 99%

“…The peaks marked on the trendline with arrowheads in Figure 3D correspond to the cell groupings. From these observations, tesserae datasets were divided into wedge datasets according to the contact zones with neighbor tesserae (see ‗Fragmentation/Cutting of tesserae cells into single wedges' section in [25]), creating pie-piece-shaped wedges containing those cells oriented toward a specific tessera neighbor (Figure 2E).…”

Section: Quantification Of Morphology and Orientation Of Lacunaementioning

confidence: 99%

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Co-aligned chondrocytes: Zonal morphological variation and structured arrangement of cell lacunae in tessellated cartilage

Chaumel

Schotte

Bizzarro

et al. 2020

Bone

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Highlights•Stingray cartilage is covered in mineralized tiles (tesserae), filled with cells.•Cell lacunae vary in shape and size according to location within tesserae.•Lacunae are aligned to one another, to neighbor tesserae, to local collagen fibers. •Lacunae density is significantly higher in larger/older tesserae and near pores.•Stingray cells do not proliferate, hypertrophy or die during mineralization.

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Section: Lacunae Segmentation Pipelinementioning

confidence: 88%

Section: Lacunae Segmentation Pipelinementioning

confidence: 99%

Section: Lacunae Segmentation Pipelinementioning

confidence: 99%

Section: Quantification Of Morphology and Orientation Of Lacunaementioning

confidence: 99%

Section: Quantification Of Morphology and Orientation Of Lacunaementioning

confidence: 99%

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Co-aligned chondrocytes: Zonal morphological variation and structured arrangement of cell lacunae in tessellated cartilage

Chaumel

Schotte

Bizzarro

et al. 2020

Bone

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Growth of a Tessellation: Geometric rules for the Development of Stingray Skeletal Patterns

Yang,

Knötel,

Ciecierska‐Holmes

et al. 2024

Advanced Science

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The skeletons of sharks and rays, fashioned from cartilage, and armored by a veneer of mineralized tiles (tesserae) present a mathematical challenge: How can the continuous covering be maintained as the skeleton expands? This study, using microCT and custom visual data analyses of growing stingray skeletons, systematically examines tessellation patterns and morphologies of the many thousand interacting tesserae covering the hyomandibula (a skeletal element critical to feeding), over a two‐fold developmental change in hyomandibula length. The number of tesserae remains surprisingly constant, even as the hyomandibula expands isometrically, with all hyomandibulae displaying self‐similar distributions of tesserae shapes/sizes. Although the distribution of tesserae geometries largely agrees with the rules for polyhedra tiling of complex surfaces—dominated by hexagons and a minor fraction of pentagons and heptagons, but very few other polygons—the agreement with Euler's classic mathematical laws is not perfect. Contrary to the assumed uniform growth rate (which is shown would create geometric incompatibilities), larger tesserae grow faster to accommodate skeletal expansion. It is hypothesized that this local regulation of global system complexity is driven by tension (from cartilaginous core expansion) in the fibers connecting tesserae, with strain‐responsive cells orchestrating local mineral apposition.

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Image analysis pipeline for segmentation of a biological porosity network, the lacuno-canalicular system in stingray tesserae

Cited by 2 publications

References 17 publications

Co-aligned chondrocytes: Zonal morphological variation and structured arrangement of cell lacunae in tessellated cartilage

Co-aligned chondrocytes: Zonal morphological variation and structured arrangement of cell lacunae in tessellated cartilage

Growth of a Tessellation: Geometric rules for the Development of Stingray Skeletal Patterns

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