Dr Ben Sherlock
Lecturer in Translational Biophotonics
(Streatham) 3047 or (Streatham) 7467
01392 723047 or 01392 727467
Overview
I am a Lecturer in Translational Biophotonics in Physics Department at the University of Exeter. My research interests lie in the field of translational biophotonics and the development of customised optical imaging systems to tackle high impact questions in biology and medicine. Optical microscopy has a long history of enabling breakthrough discoveries in the biomedical sciences. An emerging frontier in biophotonics is the fast and non-destructive acquisition of images from 3D living systems.
Prior to joining the University of Exeter, I spent 2.5 years working as a Project Scientist in the Biomedical Engineering Department of the University of California, Davis. In this role I developed multiscale and multimodal, fiber-based imaging systems that were designed to monitor structural and biochemical changes occurring during the in vitromaturation of engineered cartilage, bone and vascular constructs. Each platform used a narrow (<0.5 mm) and flexible double clad fiber as the interface between imaging apparatus and the sample. Working with an interdisciplinary team of students and postdoctoral researchers, we were able to integrate these single fiber imaging systems inside sterile tissue culture environments such as a biosafety cabinet, or vascular construct bioreactor. Elements of this research was performed as an industrial collaboration with Coherent inc.
From 2013 to 2015 I worked as a postdoctoral research fellow in the Physics Department at Imperial College London. In this time I was responsible for the design, development and in vivo testing of a handheld multiphoton microscope for dermatology. The aim of this project translate the power of label-free multiphoton microscopy into a clinical imaging tool with applications in skin cancer detection. To prevent motion artefacts when imaging in vivo from compromising the submicron resolution of the images, we developed and integrated motion compensation systems into the handheld microscope. At the culmination of this project, we were able to acquire sub-cellular resolution images of the label-free autofluorescence of basal cells in the skin of human volunteers.
Publications
Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.
| 2023 | 2022 | 2021 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 |
2023
- Sauchelli S, Pickles T, Voinescu A, Choi H, Sherlock B, Zhang J, Colyer S, Grant S, Sundari S, Lasseter G. (2023) Public attitudes towards the use of novel technologies in their future healthcare: a UK survey, BMC Med Inform Decis Mak, volume 23, no. 1, DOI:10.1186/s12911-023-02118-2. [PDF]
2022
- Haudenschild AK, Sherlock BE, Zhou X, Sheaff CS, Hu JC, Leach JK, Marcu L, Athanasiou KA. (2022) Non-destructive, continuous monitoring of biochemical, mechanical, and structural maturation in engineered tissue, Scientific Reports, volume 12, no. 1, DOI:10.1038/s41598-022-18702-x.
2021
- Sauchelli S, Pickles T, Voinescu A, Choi H, Sherlock B, Zhang J, Colyer S, Grant S, Sundari S, Lasseter G. (2021) Public attitudes towards the use of novel technologies in their future healthcare: A UK survey, DOI:10.1101/2021.12.05.21266892. [PDF]
- Sherlock BE, Chen J, Mansfield JC, Green E, Winlove CP. (2021) Biophotonic tools for probing extracellular matrix mechanics, Matrix Biology Plus, volume 12, DOI:10.1016/j.mbplus.2021.100093.
2019
- Anagnostidis V, Sherlock B, Metz J, Mair P, Hollfelder F, Gielen F. (2019) Deep learning guided image-based droplet sorting for on-demand selection and analysis of single cells and 3D cell cultures, DOI:10.48550/arxiv.1912.05490.
- Anagnostidis V, Sherlock B, Metz J, Mair P, Hollfelder F, Gielen F. (2019) Deep learning guided image-based droplet sorting for biological screenings, 23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019, pages 945-946.
- Alfonso-Garcia A, Li C, Bec J, Yankelevich D, Marcu L, Sherlock B. (2019) Fiber-based platform for synchronous imaging of endogenous and exogenous fluorescence of biological tissue, Optics Letters, volume 44, no. 13, pages 3350-3350, DOI:10.1364/ol.44.003350. [PDF]
- Anagnostidis V, Sherlock B, Metz J, Mair P, Hollfelder F, Gielen F. (2019) Deep learning guided image-based droplet sorting for on-demand selection and analysis of single cells and 3D cell cultures. [PDF]
- Sherlock BE, Li C, Zhou X, Alfonso-Garcia A, Bec J, Yankelevich D, Marcu L. (2019) Multiscale, multispectral fluorescence lifetime imaging using a double-clad fiber, OPTICS LETTERS, volume 44, no. 9, pages 2302-2305, DOI:10.1364/OL.44.002302. [PDF]
- Haudenschild AK, Sherlock BE, Zhou X, Hu JC, Leach JK, Marcu L, Athanasiou KA. (2019) Non-destructive detection of matrix stabilization correlates with enhanced mechanical properties of self-assembled articular cartilage, J Tissue Eng Regen Med, volume 13, no. 4, pages 637-648, DOI:10.1002/term.2824. [PDF]
2018
- Sherlock B, Warren SC, Alexandrov Y, Yu F, Stone J, Knight J, Neil MAA, Paterson C, French PMW, Dunsby C. (2018) In vivo multiphoton microscopy using a handheld scanner with lateral and axial motion compensation, J Biophotonics, volume 11, no. 2, DOI:10.1002/jbio.201700131. [PDF]
- Sherlock BE, Harvestine JN, Mitra D, Haudenschild A, Hu J, Athanasiou KA, Leach JK, Marcu L. (2018) Nondestructive assessment of collagen hydrogel cross-linking using time-resolved autofluorescence imaging, J Biomed Opt, volume 23, no. 3, pages 1-9, DOI:10.1117/1.JBO.23.3.036004. [PDF]
- Alfonso-Garcia A, Shklover J, Sherlock BE, Panitch A, Griffiths LG, Marcu L. (2018) Fiber-based fluorescence lifetime imaging of recellularization processes on vascular tissue constructs, J Biophotonics, volume 11, no. 9, DOI:10.1002/jbio.201700391. [PDF]
- Haudenschild AK, Sherlock BE, Zhou X, Hu JC, Leach JK, Marcu L, Athanasiou KA. (2018) Nondestructive fluorescence lifetime imaging and time-resolved fluorescence spectroscopy detect cartilage matrix depletion and correlate with mechanical properties, Eur Cell Mater, volume 36, pages 30-43, DOI:10.22203/eCM.v036a03. [PDF]
- Li C, Shklover J, Parvizi M, Sherlock BE, Alfonso Garcia A, Haudenschild AK, Griffiths LG, Marcu L. (2018) Label-Free Assessment of Collagenase Digestion on Bovine Pericardium Properties by Fluorescence Lifetime Imaging, Ann Biomed Eng, volume 46, no. 11, pages 1870-1881, DOI:10.1007/s10439-018-2087-6. [PDF]
- Zhou X, Haudenschild AK, Sherlock BE, Hu JC, Leach JK, Athanasiou KA, Marcu L. (2018) Detection of glycosaminoglycan loss in articular cartilage by fluorescence lifetime imaging, J Biomed Opt, volume 23, no. 12, pages 1-8, DOI:10.1117/1.JBO.23.12.126002. [PDF]
2017
- Zhou X, Haudenschild AK, Sherlock BE, Lagarto J, Hu JC, Leach JK, Athanasiou KA, Marcu L. (2017) Zonal characterization of bovine articular cartilage using fluorescence lifetime imaging, Optics InfoBase Conference Papers, volume Part F63-OMP 2017, DOI:10.1364/OMP.2017.OmM3D.4.
- Sherlock BE, Phipps JE, Bec J, Marcu L. (2017) Simultaneous, label-free, multispectral fluorescence lifetime imaging and optical coherence tomography using a double-clad fiber, Opt Lett, volume 42, no. 19, pages 3753-3756, DOI:10.1364/OL.42.003753. [PDF]
2016
- Sherlock BE, Zhou X, Bec J, Marcu L. (2016) Synchronous fluorescence lifetime imaging and optical coherence tomography using a double clad fiber, 2016 IEEE PHOTONICS CONFERENCE (IPC). [PDF]
- Sherlock B, Yu F, Stone J, Warren S, Paterson C, Neil MAA, French PMW, Knight J, Dunsby C. (2016) Tunable fibre-coupled multiphoton microscopy with a negative curvature fibre, J Biophotonics, volume 9, no. 7, pages 715-720, DOI:10.1002/jbio.201500290. [PDF]
2015
- O'Connor D, Henning AJ, Sherlock B, Leach RK, Coupland J, Giusca CL. (2015) Model-based defect detection on structured surfaces having optically unresolved features, Appl Opt, volume 54, no. 30, pages 8872-8877, DOI:10.1364/AO.54.008872. [PDF]
- Sherlock B, Warren S, Stone J, Neil M, Paterson C, Knight J, French P, Dunsby C. (2015) Fibre-coupled multiphoton microscope with adaptive motion compensation, BIOMEDICAL OPTICS EXPRESS, volume 6, no. 5, pages 1876-1884, DOI:10.1364/BOE.6.001876. [PDF]
2014
- Leach R, Sherlock B. (2014) Applications of super-resolution imaging in the field of surface topography measurement, Surface Topography: Metrology and Properties, volume 2, no. 2, DOI:10.1088/2051-672X/2/2/023001.
- Leach R, Giusca C, Henning A, Sherlock B, Coupland J. (2014) ISO Definition of Resolution for Surface Topography Measuring Instruments, Fringe 2013, Springer Berlin Heidelberg, 405-410, DOI:10.1007/978-3-642-36359-7_73. [PDF]
2013
- Leach RK, Jones CW, Sherlock B, Krysiński A. (2013) The high dynamic range surface metrology challenge, Proceedings of the 28th Annual Meeting of the American Society for Precision Engineering, ASPE 2013, pages 149-152.
- Leach R, Jones C, Sherlock B, Krysiński A. (2013) Metrology Challenges for Highly Parallel Micro-Manufacture, 10th International Conference on Multi-Material Micro Manufacture, 8th - 10th Oct 2013, Proceedings of the 10th International Conference on Multi-Material Micro Manufacture, DOI:10.3850/978-981-07-7247-5-432. [PDF]
2012
- Gildemeister M, Sherlock BE, Foot CJ. (2012) Techniques to cool and rotate Bose-Einstein condensates in time-averaged adiabatic potentials, PHYSICAL REVIEW A, volume 85, no. 5, article no. ARTN 053401, DOI:10.1103/PhysRevA.85.053401. [PDF]
2011
- Sherlock BE, Gildemeister M, Owen E, Nugent E, Foot CJ. (2011) Time-averaged adiabatic ring potential for ultracold atoms, PHYSICAL REVIEW A, volume 83, no. 4, article no. ARTN 043408, DOI:10.1103/PhysRevA.83.043408. [PDF]
2010
- Gildemeister M, Nugent E, Sherlock BE, Kubasik M, Sheard BT, Foot CJ. (2010) Trapping ultracold atoms in a time-averaged adiabatic potential, PHYSICAL REVIEW A, volume 81, no. 3, article no. ARTN 031402, DOI:10.1103/PhysRevA.81.031402. [PDF]
2009
- Sherlock BE, Hughes IG. (2009) How weak is a weak probe in laser spectroscopy?, AMERICAN JOURNAL OF PHYSICS, volume 77, no. 2, pages 111-115, DOI:10.1119/1.3013197. [PDF]