Veronica Codesido has completed her PhD at the age of 32 years from Vigo University on tree breeding and Postdoctoral Studies from Agrobiological Research Institute of Galicia (CSIC, Santiago de Compostela, Spain) on forest species in vitro culture and molecular biology. She is the manager of the Breeding and Cultivation Department of the company Phytoplant Research dedicated to Cannabis sativa research for medicinal purposes. She has published many papers in reputed journals and has been serving as an editorial board member of repute.
Abstract
One of the trickiest works of in vitro culture studies is the high time consuming of data collection and analysis. Previous research on introduction of Cannabis sativain vitro culture required a continuous monitoring of many axillary buds from six different varieties for knowing their ability to develop into different kind of culture media (Codesido and Casano, 2018; Codesido et al., 2018). A collaboration between the companies Phytoplant Research and Onimagin Technologies develop a new tool denominated ‘Codessian’ useful for image phenotyping of axillary buds introduced on multiwell plates. The created image algorithms followed the next steps: record a reference image, illumination correction, colour potentiation, plants segmentation, selection of one plant per multiwell and leaflets detection. The obtained data after image analysis were: area (total area of detected plant, mm2), extension (convex hull, mm2), density (area/ estension, %), maximum width (distance between the furthest point of the plant, mm), leaflet count, leaflet combined length (sum of the length of all the leaflets taken together, mm), growth rate (mm2/ day) and greenness (as indicator of alive axillary buds). Those data were exported to an excel file and the results were statistical analysed. Codessian allowed to distinguish the different develop of the six used varieties and the different employed growth media helping to choose between the best medium for each variety.