Lab book of the gilestro lab
If the lab had a handbook
This guide helps you creating a split deeplabcut environment. One half will run on your local office computer (no GPU needed) and will be used to annotate images for the training of the NN The other half will run on the ICL cluster, so that it will take full advantage of the higher performance during … Continue reading Create a conda environment for deeplabcut on the ICL cluster
Lab life. Chances are that you decided to join the lab because you want to learn more about Drosophila melanogaster, or because you find sleep a fascinating topic. This is great. However, my goal as supervisor should be to go beyond the project you picked and expose you to “the lab life”, to give you … Continue reading Lab life and rules
The flyroom The flyroom is located on the third floor of this building and it is space that we share with other three fly groups. Therefore, it is paramount to keep a nice and collaborative behaviour. This means, above everything, to respect common spaces and common resources. Clean after yourself. Do not leave rubbish around. … Continue reading Working in the fly room
The lab NAS serves a first backup destination for all the data produced in the lab. In particular, we have two types of data: auto-generated data, i.e. data generated by machines such as ethoscopes or DAMs user-generated data, i.e. data generated by lab members. These can be raw data (confocal images, gel scans etc) or processed data … Continue reading Backup data to the lab NAS