DSpace Community:https://hdl.handle.net/2440/58662024-03-29T16:02:47Z2024-03-29T16:02:47ZNon-invasive, label-free optical analysis to detect aneuploidy within the inner cell mass of the preimplantation embryoTan, C.Y.Mahbub, S.B.Campugan, C.A.Campbell, J.Habibalahi, A.Chow, D.J.X.Mustafa, S.Goldys, E.M.Dunning, K.R.https://hdl.handle.net/2440/1404422024-03-18T04:07:58Z2021-01-01T00:00:00ZTitle: Non-invasive, label-free optical analysis to detect aneuploidy within the inner cell mass of the preimplantation embryo
Author: Tan, C.Y.; Mahbub, S.B.; Campugan, C.A.; Campbell, J.; Habibalahi, A.; Chow, D.J.X.; Mustafa, S.; Goldys, E.M.; Dunning, K.R.
Abstract: Abstract not available
Description: Selected Oral Communications, Session 04: Morphological Evaluation for Euploidy Detection. Abstract O-0832021-01-01T00:00:00ZMechanics of Small-Scale Spherical Inclusions Using Nonlocal Poroelasticity Integrated with Light Gradient Boosting MachineFarajpour, A.Ingman, W.V.https://hdl.handle.net/2440/1404252024-02-21T15:13:56Z2024-01-01T00:00:00ZTitle: Mechanics of Small-Scale Spherical Inclusions Using Nonlocal Poroelasticity Integrated with Light Gradient Boosting Machine
Author: Farajpour, A.; Ingman, W.V.
Abstract: Detecting inclusions in materials at small scales is of high importance to ensure the quality, structural integrity and performance efficiency of microelectromechanical machines and products. Ultrasound waves are commonly used as a non-destructive method to find inclusions or structural flaws in a material. Mathematical continuum models can be used to enable ultrasound techniques to provide quantitative information about the change in the mechanical properties due to the presence of inclusions. In this paper, a nonlocal size-dependent poroelasticity model integrated with machine learning is developed for the description of the mechanical behaviour of spherical inclusions under uniform radial compression. The scale effects on fluid pressure and radial displacement are captured using Eringen’s theory of nonlocality. The conservation of mass law is utilised for both the solid matrix and fluid content of the poroelastic material to derive the storage equation. The governing differential equations are derived by decoupling the equilibrium equation and effective stress–strain relations in the spherical coordinate system. An accurate numerical solution is obtained using the Galerkin discretisation technique and a precise integration method. A Dormand–Prince solution is also developed for comparison purposes. A light gradient boosting machine learning model in conjunction with the nonlocal model is used to extract the pattern of changes in the mechanical response of the poroelastic inclusion. The optimised hyperparameters are calculated by a grid search cross validation. The modelling estimation power is enhanced by considering nonlocal effects and applying machine learning processes, facilitating the detection of ultrasmall inclusions within a poroelastic medium at micro/nanoscales.
Description: Published: 30 January 20242024-01-01T00:00:00ZDynamic regulation of semaphorin 7A and adhesion receptors in ovarian follicle remodeling and ovulationEmery, A.Dunning, K.R.Dinh, D.T.Akison, L.K.Robker, R.L.Russell, D.L.https://hdl.handle.net/2440/1404242024-02-21T00:35:18Z2023-01-01T00:00:00ZTitle: Dynamic regulation of semaphorin 7A and adhesion receptors in ovarian follicle remodeling and ovulation
Author: Emery, A.; Dunning, K.R.; Dinh, D.T.; Akison, L.K.; Robker, R.L.; Russell, D.L.
Abstract: The ovarian follicle is a complex structure that protects and helps in the maturation of the oocyte, and then releases it through the controlled molecular and structural remodeling process of ovulation. The progesterone receptor (PGR) has been shown to be essential in regulating ovulation-related gene expression changes. In this study, we found disrupted expression of the cellular adhesion receptor gene Sema7A in the granulosa cells of PGR-/- mice during ovulation. We subsequently found that expression of Sema7A in preovulatory follicles is promoted by gonadotropins and hypoxia, establishing an asymmetrical pattern with the SEMA7A protein enriched at the apex of large antral follicles. Sema7A expression was downregulated through a PGR-dependent mechanism in the periovulatory period, the abundance of SEMA7A protein was reduced, and the asymmetric pattern became more homogeneous after an ovulatory stimulus. Receptors for Sema7A can either repel or promote intercellular adhesion. During ovulation, striking inverse regulation of repulsive Plxnc1 and adhesive Itga5/Itgb1 receptors likely contributes to dramatic tissue remodeling. The adhesive receptor Itga5 was significantly increased in periovulatory granulosa cells and cumulus-oocyte complexes (COCs), and functional assays showed that periovulatory granulosa cells and COCs acquire increased adhesive phenotypes, while Sema7A repels granulosa cell contact. These findings suggest that the regulation of Sema7A and its associated receptors, along with the modulation of integrin α5, may be critical in establishing the multilaminar ovarian follicle structure and facilitating the remodeling and apical release of the cumulus-oocyte complex during ovulation.2023-01-01T00:00:00ZUVA Hyperspectral Light-Sheet Microscopy for Volumetric Metabolic Imaging: Application to Preimplantation Embryo DevelopmentMorizet, J.Chow, D.Wijesinghe, P.Schartner, E.Dwapanyin, G.Dubost, N.Bruce, G.D.Anckaert, E.Dunning, K.Dholakia, K.https://hdl.handle.net/2440/1404222024-02-18T23:52:55Z2023-01-01T00:00:00ZTitle: UVA Hyperspectral Light-Sheet Microscopy for Volumetric Metabolic Imaging: Application to Preimplantation Embryo Development
Author: Morizet, J.; Chow, D.; Wijesinghe, P.; Schartner, E.; Dwapanyin, G.; Dubost, N.; Bruce, G.D.; Anckaert, E.; Dunning, K.; Dholakia, K.
Abstract: Cellular metabolism is a key regulator of energetics, cell growth, regeneration, and homeostasis. Spatially mapping the heterogeneity of cellular metabolic activity is of great importance for unraveling the overall cell and tissue health. In this regard, imaging the endogenous metabolic cofactors, nicotinamide adenine dinucleotide (phosphate) (NAD- (P)H) and flavin adenine dinucleotide (FAD), with subcellular resolution and in a noninvasive manner would be useful to determine tissue and cell viability in a clinical environment, but practical use is limited by current imaging techniques. In this paper, we demonstrate the use of phasor-based hyperspectral light-sheet (HS-LS) microscopy using a single UVA excitation wavelength as a route to mapping metabolism in three dimensions. We show that excitation solely at a UVA wavelength of 375 nm can simultaneously excite NAD(P)H and FAD autofluorescence, while their relative contributions can be readily quantified using a hardware-based spectral phasor analysis. We demonstrate the potential of our HS-LS system by capturing dynamic changes in metabolic activity during preimplantation embryo development. To validate our approach, we delineate metabolic changes during preimplantation embryo development from volumetric maps of metabolic activity. Importantly, our approach overcomes the need for multiple excitation wavelengths, two-photon imaging, or significant postprocessing of data, paving the way toward clinical translation, such as in situ, noninvasive assessment of embryo viability.
Description: Published: November 13, 20232023-01-01T00:00:00Z