Lisa Sophie Kölln – Research output — University of Strathclyde

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3 Article

3 results

2022
Label2label: training a neural network to selectively restore cellular structures in fluorescence microscopy
Kölln, L. S., Salem, O., Valli, J., Hansen, C. G. & McConnell, G., 10 Feb 2022, In: Journal of Cell Science. 135, 3, 22 p., jcs258994.
Research output: Contribution to journal › Article › peer-review

Open Access
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2021
An evaluation of multi-excitation-wavelength standing-wave fluorescence microscopy (TartanSW) to improve sampling density in studies of the cell membrane and cytoskeleton
Schniete, J. K., Tinning, P. W., Scrimgeour, R. C., Robb, G., Kölln, L. S., Wesencraft, K., Paul, N. R., Bushell, T. J. & McConnell, G., 3 Feb 2021, In: Scientific Reports. 11, 10 p., 2903.
Research output: Contribution to journal › Article › peer-review

Open Access
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Optical mesoscopy, machine learning, and computational microscopy enable high information content diagnostic imaging of blood films
Shaw, M., Claveau, R., Manescu, P., Elmi, M., Brown, B. J., Scrimgeour, R., Kölln, L. S., McConnell, G. & Fernandez‐Reyes, D., 30 Sep 2021, In: Journal of Pathology. 255, 1, p. 62-71 10 p.
Research output: Contribution to journal › Article › peer-review

Open Access
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