On 2.5D surface reconstruction of cell cultures

Smith, Wally; Lam, K. P.; Collins, David; Richardson, James B.

doi:10.1109/ispa.2013.6703742

Cited by 3 publications

(2 citation statements)

References 23 publications

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“…The cell organelle are analysed by means of the most in focus pixels whereby their dynamic locations (x,y,z,t) can be determined. The computational procedure has been used successfully in our previous studies of mesenchymal stem cells, offering a first ever demonstration using 4-D time lapsed videos to characterise neuronal proliferation at the site of adhesion [6,[10][11]. This is summarised in Fig.…”

Section: Methodsmentioning

confidence: 99%

4-D Hippocampus Measurements of Neurite Growth in vitro

Dempsey

Lam

Smith

et al. 2014

2014 IEEE International Conference on Computer and Information Technology

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Current research in neural tissue engineering relies heavily on in vivo animal models of neurological injury. This has a number of major drawbacks. Using innovative imaging technologies and allied data analytics, this paper presents our current work on analysing advanced 3-D models of the hippocampal circuitry, using a laminar 3-D network of orthogonally orientated nanoscale fibres constructed within a 3-D collagen gel matrix. Preliminary work on primary animal neuronal cells was able to reveal the complex responses of the neuronal cells to chemical attachment factors and topographical cues present in the in vivo-like environment of the constructed 3-D scaffold. Results suggest that the approach has validity and has helped in defining important parameters for future investigations.

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Section: Methodsmentioning

confidence: 99%

4-D Hippocampus Measurements of Neurite Growth in vitro

Dempsey

Lam

Smith

et al. 2014

2014 IEEE International Conference on Computer and Information Technology

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“…In this study, the object is projected into defocused images depending on the distance from the lens objective. These distances influence the observation of details on different scales; the Gaussian blurring causes a greater loss of information on local features such as the cell membrane, than on global features such as the cultures general topography [10,11]. This blurring increases proportionately with the objects distance from the depth-of-view of the lens.…”

Section: Depth From De/focusmentioning

confidence: 99%

Label free cell tracking in 3D tissue engineering constructs with high resolution imaging

et al. 2014

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Within the field of tissue engineering there is an emphasis on studying 3-D live tissue structures. Consequently, to investigate and identify cellular activities and phenotypes in a 3-D environment for all in vitro experiments, including shape, migration/proliferation and axon projection, it is necessary to adopt an optical imaging system that enables monitoring 3-D cellular activities and morphology through the thickness of the construct for an extended culture period without cell labeling. This paper describes a new 3-D tracking algorithm developed for Cell-IQ®, an automated cell imaging platform, which has been equipped with an environmental chamber optimized to enable capturing time-lapse sequences of live cell images over a long-term period without cell labeling. As an integral part of the algorithm, a novel auto-focusing procedure was developed for phase contrast microscopy equipped with 20x and 40x objectives, to provide a more accurate estimation of cell growth/trajectories by allowing 3-D voxels to be computed at high spatiotemporal resolution and cell density. A pilot study was carried out in a phantom system consisting of horizontally aligned nanofiber layers (with precise spacing between them), to mimic features well exemplified in cellular activities of neuronal growth in a 3-D environment. This was followed by detailed investigations concerning axonal projections and dendritic circuitry formation in a 3-D tissue engineering construct. Preliminary work on primary animal neuronal cells in response to chemoattractant and topographic cue within the scaffolds has produced encouraging results.

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