Peter Munro
Has grant
Research Interests
Explore related searches
Contact this professor
Get a free first email built on one of their papers, ready for you to edit and send yourself.
Recent Grants
Grant: Close
Computed microscopy: quantitative, deep-tissue imaging
Open Date: 2017-06-30
Close Date: 2018-11-30
Grant: Close
Improving the outcomes of oesophageal interventions through novel x-ray based imaging methods
Open Date: 2017-04-30
Close Date: 2020-10-31
Grant: Close
X-ray elastography: a novel approach to breast imaging
Open Date: 2017-01-01
Close Date: 2018-06-29
Grant: Close
A discovery platform for cell mechanics using in vivo mechano-microscopy
Open Date: 2016-01-01
Close Date: 2018-12-31
Grant: Close
Next generation, quantitative, pre-clinical imaging
Open Date: 2015-02-01
Close Date: 2020-01-01
Articles (11)
Year:
2023
We have previously demonstrated a novel interferometric multispeckle Fourier domain diffuse correlation spectroscopy system that makes use of holographic camera-based detection, and which is capable of making in vivo pulsatile flow measurements. In this work, we report on a systematic characterisation of the signal-to-noise ratio performance of our system. This includes demonstration and elimination of laser mode hopping, and correction for the instrument’s modulation transfer function to ensure faithful reconstruction of measured intensity profiles. We also demonstrate a singular value decomposition approach to ensure that spatiotemporally correlated experimental noise sources do not limit optimal signal-to-noise ratio performance. Finally, we present a novel multispeckle denoising algorithm that allows our instrument to achieve a signal-to-noise ratio gain that is equal to the square root of the number of detected speckles, whilst detecting up to ∼1290 speckles in parallel. The signal-to-noise ratio gain of 36 that we report is a significant step toward mitigating the trade-off that exists between signal-to-noise ratio and imaging depth in diffuse correlation spectroscopy.
Year:
2022
Year:
2022
Year:
2022
Year:
2022
Year:
2022
Year:
2021
Year:
2021
Year:
2021
Year:
2021
Year:
2021
Collaborators (7)
Edward James
University College London
Andrea Mazzolani
University College London
Cipiccia Silvia
Lecturer
University College London
Alessandro Olivo
University College London
Martyna Michalska
Lecturer in Nanomanufacturing
University College London
Lorenzo Massimi
University College London
Ioannis Papakonstantinou
Professor
University College London
Make your next move.
Prepare your application
Review drafts before you send them.