The Great Lakes Cytogenomics Conference is held in May of each year in Toronto, Ontario, Canada. Attendees from all over Canada and the USA come to share and discuss their experiences in the field of Clinical Laboratory Genetics and Cytogenomics. This conference is of particular interest to cytogenomicists, trainee fellows, and technologists working in the field.
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Slide Imaging and Image Analysis for Diatom Morphometrics

Light microscopy analysis of diatom frustules is widely used in basic and applied research [...]. For image acquisition, we use a Metafer slide scanning system [...]. In position list
mode, a list of user-defined positions, spread arbitrarily over the slide, can be imaged. [...] The vertical position of objects can be determined by automatic creation of a focus map, i.e., based on interpolation between reference points, or by autofocusing at each position captured, or using a combination of both. [...] Our two-cycle microscopy and image analysis procedure starts with a low-resolution area scan [...]. The overlapping low-resolution images are stitched together to a virtual slide using the VSlide software [...]. For locating and selecting valves of interest, the low-resolution images [...] are processed by SHERPA. [...] We use the VSViewer software to import the position list provided by SHERPA [...] into the virtual slide [...]. The annotation function of the viewer enables to manually add positions of interest if some objects deemed relevant were missed by SHERPA [...]. This allows for combining (semi-)automated and manual selection of valves of interest. [...] The annotated virtual slide from step 5 contains the (X, Y) position data required for selectively imaging the valves of interest. [...]. Extending the size range reported for F. kerguelensis (quite substantially, by nearly 45% in the case of apical length) nicely illustrates the advantages of a (semi-)automated approach formicroscopic morphometry of diatom valves, primarily that it makes documenting and measuring large numbers of specimens feasible with moderate effort.
Cited From: Appl. Sci. (2017)
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