Automatting Pattern Recognition in Super Resolution Images

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• Daniel Pencross, Doctoral Student, Medical Imaging and Image Interpretation Group, School of Computer Science, University of Birmingham
• Tuesday 05 July 2016, 11:00-12:00
• Sloman Lounge, Computer Science Building (Y9 in Edgbaston Campus).

If you have a question about this talk, please contact Matthaios Doulgerakis.

Clustering of proteins in biological samples is known to be key to the proper function and regulation of cellular processes. The diverse nature of the size and shapes of clusters present in different biological samples results in the selection of a suitable algorithm being a highly subjective process. Overcoming this selection bias requires the adoption of an automated validation protocol, providing a quantitative evaluation of the effectiveness of a given algorithm for segmenting a given dataset. An outline of the associated workflow and results will be presented, in addition to progress towards the implementation of the DNA -PAINT super resolution imaging protocol.

This talk is part of the Medical Imaging Research Seminars series.

This talk is included in these lists:

• Medical Imaging Research Seminars
• Sloman Lounge, Computer Science Building (Y9 in Edgbaston Campus)

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