The University of Southampton
Telephone:
71-8226
Email:
Benita.Mackay@nhs.net

Benita MacKay MPhys, MInstP

Personal homepage

A postgraduate researcher working on combining deep learning, laser physics and cell biology for stem cell control and tissue regeneration.

She completed her master's degree in physics from the University of Southampton in silicon metamaterials and novel pollution sensors utilising artificial intelligence.

Publications

Grant-Jacob, James (2018) Dataset for Real-time particle pollution sensing using machine learning. University of Southampton doi:10.5258/SOTON/D0436 [Dataset]

Heath, Daniel (2018) Data for 'Machine learning for 3D simulated visualization of laser machining'. University of Southampton doi:10.5258/SOTON/D0514 [Dataset]

Heath, Daniel, Grant-Jacob, James, Xie, Yunhui, MacKay, Benita, Scout, Baker, James, Eason, Robert and Mills, Benjamin (2018) Machine learning for 3D simulated visualization of laser machining. Optics Express, 26 (17), 21574-21584. (doi:10.1364/OE.26.021574).

Heath, Daniel, MacKay, Benita, Scout, Grant-Jacob, James, Mills, Benjamin, Xie, Yunhui, Oreffo, Richard and Eason, Robert (2018) Dataset for Closed-Loop Corrective Beam Shaping for Laser Processing of Curved Surfaces. University of Southampton doi:10.5258/SOTON/D0597 [Dataset]

Grant-Jacob, James, MacKay, Benita S., Baker, James, Heath, Daniel J., Xie, Yunhui, Loxham, Matthew, Eason, Robert W. and Mills, Ben (2018) Real-time particle pollution sensing using machine learning. Optics Express, 26 (21), 27237-27246. (doi:10.1364/OE.26.027237).

Heath, Daniel, MacKay, Benita S., Grant-Jacob, James, Xie, Yunhui, Oreffo, Richard, Eason, Robert and Mills, Benjamin (2018) Closed-loop corrective beam shaping for laser processing of curved surfaces. Journal of Micromechanics and Microengineering, 28 (12), 1-7. (doi:10.1088/1361-6439/aae1d5).

Mills, Benjamin, Heath, Daniel, Grant-Jacob, James, Xie, Yunhui, MacKay, Benita, Scout and Eason, Robert (2019) Image-based monitoring of high-precision laser machining via a convolutional neural network. In Photonics West.

Mills, Benjamin, Heath, Daniel, Grant-Jacob, James, MacKay, Benita, Scout and Eason, Robert (2019) Neural networks for predictive laser machining capabilities. In Emerging Digital Micromirror Device Based Systems and Applications XI. SPIE.. (doi:10.1117/12.2507375).

Grant-Jacob, James, Xie, Yunhui, McDonnell, Michael, David Tom, Eason, Robert, Loxham, Matthew, MacKay, Benita, Scout, Mills, Benjamin, Heath, Daniel and Praeger, Matthew (2019) Deep learning for real-time air and marine particle pollution sensing. Clean Air Futures: working together for cleaner air, , Southampton, United Kingdom. 22 Mar 2019.

Mills, Benjamin, McDonnell, Michael, David Tom, Heath, Daniel, Xie, Yunhui, Grant-Jacob, James, MacKay, Benita, Scout, Praeger, Matthew and Eason, Robert (2019) Deep learning for 3D modelling of multiple pulse femtosecond ablation. In 15th International Conference on Laser Ablation (COLA) 2019.

Grant-Jacob, James, MacKay, Benita S., Baker, James, Xie, Yunhui, McDonnell, Michael D.T., Heath, Daniel, Praeger, Matthew, Eason, Robert W. and Mills, Ben (2019) Patterned nanofoam fabrication from a variety of materials via femtosecond laser pulses. Materials Sciences and Applications, 186-196. (doi:10.4236/msa.2019.103015).

Xie, Yunhui, Heath, Daniel, Grant-Jacob, James, MacKay, Benita, Scout, McDonnell, Michael, David Tom, Praeger, Matthew, Eason, Robert and Mills, Benjamin (2019) Smart lasers for manufacturing of the future. FEPS IoT Showcase. 05 Apr 2019.

Grant-Jacob, James (2019) Dataset for Particle and salinity sensing for the marine environment via deep learning using a Raspberry Pi. University of Southampton doi:10.5258/SOTON/D0758 [Dataset]

Grant-Jacob, James, Xie, Yunhui, MacKay, Benita, Scout, Praeger, Matthew, McDonnell, Michael, David Tom, Heath, Daniel J, Loxham, Matthew, Eason, Robert and Mills, Benjamin (2019) Particle and salinity sensing for the marine environment via deep learning using a Raspberry Pi. Environmental Research Communications, 1 (1). (doi:10.1088/2515-7620/ab14c9).

Grant-Jacob, James (2019) Dataset for: A neural lens for super-resolution biological imaging. University of Southampton doi:10.5258/SOTON/D0442 [Dataset]

Grant-Jacob, James, MacKay, Benita, Scout, Xie, Yunhui, Heath, Daniel J, Loxham, Matthew, Eason, Robert and Mills, Benjamin (2019) A neural lens for super-resolution biological imaging. Journal of Physics Communications. (doi:10.1088/2399-6528/ab267d).

Xie, Yunhui, Heath, Daniel J, Grant-Jacob, James, MacKay, Benita, Scout, McDonnell, Michael, David Tom, Praeger, Matthew, Eason, Robert and Mills, Benjamin (2019) Deep learning for the monitoring and process control of femtosecond laser machining. Journal of Physics: Photonics, 1 (3), 1-10, [3]. (doi:10.1088/2515-7647/ab281a).

Xie, Yunhui, Heath, Daniel, Grant-Jacob, James, MacKay, Benita, Scout, McDonnell, Michael, David Tom, Praeger, Matthew, Eason, Robert and Mills, Benjamin (2019) Data for 'Deep learning for the monitoring and process control of femtosecond laser machining'. University of Southampton doi:10.5258/SOTON/D0754 [Dataset]

Mills, Benjamin, Grant-Jacob, James, Jain, Saurabh, Xie, Yunhui, MacKay, Benita, Scout, McDonnell, Michael, David Tom, Praeger, Matthew, Loxham, Matthew, Richardson, David and Eason, Robert (2020) Particulates sensing using optical fibres and deep learning. SPIE Photonics West, The Moscone Center, United States. 01 - 06 Feb 2020.

MacKay, Benita, Scout, Blundell, Sophie, Lewis, Rohan, Etter, Olivia, Xie, Yunhui, McDonnell, Michael, David Tom, Praeger, Matthew, Grant-Jacob, James, Eason, Robert and Mills, Benjamin (2019) Automated 3D labelling of fibroblasts in SEM-imaged placenta using deep learning. In SPIE : Medical Imaging 2020. SPIE.. (Submitted)

Grant-Jacob, James, Xie, Yunhui, MacKay, Benita, Scout, McDonnell, Michael, David Tom, Praeger, Matthew, Loxham, Matthew, Eason, Robert and Mills, Benjamin (2019) Super-resolution imaging using deep learning. IOP - Physics Meets Biology, United Kingdom. 08 - 11 Sep 2019.

Grant-Jacob, James, Xie, Yunhui, MacKay, Benita, Scout, McDonnell, Michael, David Tom, Praeger, Matthew, Loxham, Matthew, Eason, Robert and Mills, Benjamin (2019) Bioaerosol sensing using deep learning. IOP - Physics Meets Biology, United Kingdom. 08 - 11 Sep 2019.

Grant-Jacob, James, Jain, Saurabh, Xie, Yunhui, MacKay, Benita, Scout, McDonnell, Michael, David Tom, Praeger, Matthew, Loxham, Matthew, Richardson, David, Eason, Robert and Mills, Benjamin (2019) Fibre-optic based particle sensing via deep learning. Journal of Physics: Photonics.

Grant-Jacob, James (2019) Dataset: Fibre-optic based particle sensing via deep learning. University of Southampton doi:10.5258/SOTON/D0759 [Dataset]

MacKay, Benita, Scout, Blundell, Sophie, Lewis, Rohan, Etter, Olivia, Xie, Yunhui, McDonnell, Michael, David Tom, Praeger, Matthew, Grant-Jacob, James, Eason, Robert and Mills, Benjamin (2019) Automated 3D labelling of fibroblasts in SEM-imaged placenta using deep learning. The Southampton Machine Intelligence Showcase 2019, University of Southampton, United Kingdom. 22 Oct 2019. 1 pp .

MacKay, Benita, Blundell, Sophie, Etter, Olivia, Xie, Yunhui, McDonnell, Michael, David Tom, Praeger, Matthew, Grant-Jacob, James, Eason, R.W., Lewis, Rohan and Mills, Benjamin (2020) Automated 3D labelling of fibroblasts and endothelial cells in SEM-imaged placenta using deep learning. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2 BIOIMAGING. Science and Technology Publications, Lda. pp. 46-53 . (doi:10.5220/0008949700460053).

McDonnell, Michael, David Tom, Grant-Jacob, James, Xie, Yunhui, Praeger, Matthew, MacKay, Benita, Scout, Eason, R.W. and Mills, Benjamin (2020) Modelling laser machining of nickel with spatially shaped three pulse sequences using deep learning. Optics Express, 28 (10), 14627-14637. (doi:10.1364/OE.381421).

MacKay, Benita Scout, Praeger, Matthew, Grant-Jacob, James, Kanczler, Janos, Eason, R.W., Oreffo, Richard and Mills, Benjamin (2020) Data for "Modeling adult skeletal stem cell response to laser-machined topographies through deep learning". University of Southampton doi:10.5258/SOTON/D1395 [Dataset]

MacKay, Benita Scout, Praeger, Matthew, Grant-Jacob, James, Kanczler, Janos, Eason, Robert, Oreffo, Richard and Mills, Benjamin (2020) Modeling adult skeletal stem cell response to laser-machined topographies through deep learning. Tissue and Cell, 67, [101442]. (doi:10.1016/j.tice.2020.101442).

MacKay, Benita Scout, Grant-Jacob, James, Eason, R.W., Lewis, Rohan and Mills, Benjamin (2021) Deep Learning for the Automated Feature Labelling of 3-Dimensional Imaged Placenta. In, Biomedical Engineering Systems and Technologies: 13th International Joint Conference, BIOSTEC 2020, Valletta, Malta, February 24–26, 2020, Revised Selected Papers. 1 ed. Springer, p. 93. (doi:10.1007/978-3-030-72379-8_6).

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