The HASTE project is coming to an end by June 2023 and a final meeting was held on 2023-05-26 at the Ångström Laboratory, Uppsala. The participants were: Ola Spjuth (UU), Phil Harrison (UU), Ankit Gupta (UU), Ebba Bergman (UU), Andreina Francisco (UU), Tianru Zhang (UU), Carolina Wählby (UU), Salman Toor (UU), Alan Sabirsh (AstraZeneca), Andreas Hellander (UU), Ida-Maria Sintorn (Vironova).

The meeting program featured presentations reflecting on the HASTE project as a whole, but also presentations by PhD students on the completed projects and a more visionary future perspectives on the continuation of HASTE. One example is the new grants received by the HASTE PIs to carry on with parts of the projects, including an eSSENCE funded PhD project on streaming data analysis of microscopy imaging (PI: Ola Spjuth) and the award from UU Invest’s Venture Challenge 2023 (Ankit Gupta, Ida-Maria sintorn and Carolina Wählby) to continue the SimSearch application(see Gupta et al. IEEE J. Biomedical and Health informatics 26(8), 4079-4089, 2022).

It has been a great project with many successful scientific outcomes. The list of publications summarizes the scientific papers, but also highly important are the code contributions in GitHub and the datasets deposited as a result of the project.
During 2023, we look forward to two HASTE PhD students to defend their theses [updated]:
“Deep learning approaches for image cytometry: assessing cellular morphological responses to drug perturbations” by Philip Harrison PhD Defence on 2023-09-22. Full text in DIVA: http://uu.diva-portal.org/smash/record.jsf?pid=diva2%3A1785791.
“Adapting Deep Learning for Microscopy: Interaction, Application, and Validation” by Ankit Gupta planned date for PhD defence on 2023-12-01