Miss Elaine Ho BEng, MSc

Postgraduate research student

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Elaine Ho is a postgraduate research student within the Bioengineering Science Research Group at the University of Southampton.

Her project aims to utilise X-ray micro-computed tomography for 3-D histology of soft tissues in conjunction with other correlative imaging techniques.

Elaine previously completed her MSc in Biomedical Engineering at the University of Southampton, where her MSc project investigated the use of microbubbles to bacterial biofilms for targeted delivery of anti-microbial treatments. Prior to that, she obtained her BEng in Mechanical Engineering graduating with first class honours also at the University of Southampton. Her undergraduate thesis focused on the optimisation of 3-D high resolution scanning electron microscopy of osteocytes.

Research

Publications

Teaching

Contact

Research interests

3-D X-ray histology

Micro-computed tomography

Correlative imaging

PhD Research: Optimising Correlative 3-D X-ray Histology for Soft Tissue Imaging (Supervision: Dr Philipp Schneider, Dr Peter Lackie, Dr Orestis Katsamenis)

Research group

Bioengineering Science

Affiliate research group

Bioengineering Science

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Conferences

Konstantinopoulou, E., Katsamenis, O. L., Jogai, S., Chatelet, D., Lawson, M., Basford, P. J., Ho, E. M. L., Schneider, P., & Elkington, P. (2021). Combining micro-CT imaging with traditional histology in a correlative imaging approach to investigate tuberculosis pathology in the human lung. Poster session presented at ToScA UK & Europe 2021 .
Konstantinopoulou, E., Katsamenis, O. L., Jogai, S., Chatelet, D., Lawson, M., Basford, P. J., Ho, E. M. L., Schneider, P., & Elkington, P. (2021). Investigating tuberculosis pathology in the human lung with 3D X-ray Histology; a correlative imaging approach. Poster session presented at COMULIS conference 2021, Gothenburg, Sweden.
Ho, E. M. L., Wolf, J., Lawson, M., Trandafir, T. E., Konstantinopoulou, E., Katsamenis, O. L., Stubbs, A., Lackie, P., von der Thüsen, J., & Schneider, P. (2021). Tools for shared annotation of correlative 2D light microscopy and 3D X-ray histology. Poster session presented at ToScA UK & Europe 2021 .
Ho, E. M. L., Katsamenis, O. L., Thomas, G., Lackie, P., & Schneider, P. (2020). 3D X-ray histology for detection of metastasis in whole lymph node specimens. Poster session presented at 7th Digital Pathology & AI Congress: Europe, Online.
Ho, E. M. L., Lackie, P., Katsamenis, O. L., & Schneider, P. (2020). Adding a new dimension to soft tissue imaging through correlative 2D thin-section & 3D X-ray histology. Poster session presented at STEM for BRITAIN, London, United Kingdom.
Ho, E. M. L., Rossides, C., Pender, S., Katsamenis, O. L., Lackie, P., & Schneider, P. (2020). Semi-automated Intensity-based Image quality assessment with Gaussian Mixture Models. Poster session presented at The 4th Network of European Bioimage Analysts (NEUBIAS) Conference & Symposium 2020, Bordeaux, France.

Review

Goggin, P. M., Ho, E. M. L., Gnaegi, H., Searle, S., Oreffo, R., & Schneider, P. (2020). Development of protocols for the first serial block-face scanning electron microscopy (SBF SEM) studies of bone tissue. Bone, 131, [115107]. https://doi.org/10.1016/j.bone.2019.115107

Software

Ho, E. M. L. (Author), Katsamenis, O. L. (Author), Thomas, G. J. (Author), Lackie, P. M. (Author), & Schneider, P. (Author). (2020). LinkedView: A Fiji/ImageJ plugin for visualisation and annotation of correlative images. Software, Zenodo. https://doi.org/10.5281/zenodo.3996281
Ho, E. M. L. (Author), Rossides, C. (Author), Katsamenis, O. L. (Author), Lackie, P. M. (Author), & Schneider, P. (Author). (2020). Objective and repeatable image quality assessment with Gaussian mixture models. Software, Zenodo. https://doi.org/10.5281/zenodo.3688733

Thesis

Ho, E. M. L. (2022). Development of tools to facilitate correlative 2D light microscopy and 3D x-ray histology for biomedical applications. University of Southampton.

Demonstrator, MATH1054 Mathematics for Engineering and the Environment

Miss Elaine Ho
Engineering, University of Southampton, Highfield, Southampton. SO17 1BJ United Kingdom

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