I am a PhD student in the Communications and Signal Processing Group, Imperial College London, supervised by Professors Pier Luigi Dragotti and Simon Schultz. My PhD work has focused on developing algorithms to detect cells and cellular activity from brain imaging data. Details on latest projects and publications can be found below.
An algorithm to detect the location of cells in calcium imaging data
We've developed a new algorithm to detect the locations of cells from calcium imaging data. In our framework, multiple coupled active contours evolve, guided by a model-based cost function, to identify cell boundaries. An active contour seeks to partition a local region into two subregions, a cell interior and exterior, in which all pixels have maximally “similar” time courses. Check out the video above to see an example of a contour evolving!
S Reynolds, T Abramsson, R Schuck, PJ Sjöström, SR Schultz and PL Dragotti (2017). ABLE: an Activity-Based Level Set Segmentation Algorithm for Two-Photon Calcium Imaging Data. eNeuro, 4 (5) ENEURO.0012-17.2017 BIB
AD Simms, S Reynolds, K Pieper, PD Baxter, BA Cattle, PD Batin, JI Wilson, JE Deanfield, RM West, KAA Fox, AS Hall and CP Gale (2013). Evaluation of the NICE mini-GRACE risk scores for acute myocardial infarction using the Myocardial Ischaemia National Audit Project (MINAP) 2003–2009: National Institute for Cardiovascular Outcomes Research (NICOR), Heart, 99, 35-40. BIB
S Reynolds, CS Copeland, SR Schultz and PL Dragotti, (2016). An extension of the FRI framework for calcium transient detection, in IEEE 13th International Symposium on Biomedical Imaging (ISBI) , Prague, Czech Republic, pp. 676-679. BIB
S Reynolds, J Oñativia, CS Copeland, SR Schultz and PL Dragotti, (2015). Spike detection using FRI methods and protein calcium sensors: performance analysis and comparisons, in 11th International Conference on Sampling Theory and Applications (SampTA) , Washington, DC, USA, pp. 533-537. BIB
