Join ARU's Medical Technology Research Centre (MTRC) online for a seminar from Dr Leila Muresan about the challenges posed by fluorescent microscopy.
Biology increasingly relies on accurate quantification and integration of information gathered from various sources, one such source being fluorescence microscopy imaging. Modern techniques, such as light sheet microscopy, raise challenges of their own.
While the technique allows the imaging of large volumes over long periods of time, thanks to the parsimonious illumination of the sample, the experiments result typically in very large data sets that need to be analysed with minimal human interaction.
Preliminary to image segmentation and object tracking, pre-processing steps are often necessary, including image denoising and reconstruction. More specifically, a recent work relying on a novel image formation model allows to model the space varying point spread function in light sheet microscopy to recover a sharp image under a realistic noise assumption.
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