Author

S. L. Colyer

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

D. P. Cosker· 2 shared J. L. Bilzon· 2 shared L. Needham· 2 shared L. Wade· 2 shared M. Evans· 2 shared M. P. McGuigan· 1 shared P. M. McGuigan· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 20 mutual co-author links

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2 shared papersBioengineering

D. P. Cosker

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Author profile →

2 papers

Recent·Most cited

The Development and Evaluation of a Fully Automated Markerless Motion Capture Workflow

L. Needham, M. Evans, L. Wade, D. P. Cosker, M. P. McGuigan, J. L. Bilzon, S. L. Colyer

This paper develops a fully automated markerless motion capture workflow using deep learning and evaluates its accuracy against marker-based methods for lower limb kinematics during running, walking, and jumping.

bioRxiv · Feb 16, 2022Bioengineering

Human Movement Science in The Wild: Can Current Deep-Learning Based Pose Estimation Free Us from The Lab?

L. Needham, M. Evans, D. P. Cosker, L. Wade, P. M. McGuigan, J. L. Bilzon, S. L. Colyer

This study evaluates deep-learning pose estimation accuracy against marker-based motion capture in real-world settings, finding systematic errors in joint center locations.

bioRxiv · Apr 22, 2021 · PreprintBioengineering