The work of @turkubioimaging and others to organize #ELMI2022 was noticed by the city of #Turku. Such events are important for bringing public awareness for our work.
Pasi Kankaanpää talks about organizing #ELMI2022 from a local perspective - the event was also a huge success for our lovely city #Turku! https://t.co/1wjddnNZKg
Join us for the 4th BioImaging Informatics Finland Network Symposium 14. November 2022 in Helsinki!
Register before 6.11.2022 – first come first serve!
Want to give a talk? Abstract submission 23.10.2022!
Further info: https://t.co/g2RGq2fZ5S #bioimageanalysis
Pasi and @junelsolis from our team visited the Husö Biological Research Station to discuss our collaboration in the area of image data analysis related to reed growth in the archipelago. More about this exciting project here: https://t.co/DPfMsbIBpK @AboAkademi @FinnishAlmNode
We are developing an app at @turkubioimaging for microscopy teaching and support and today we got to test it for the first time! Here a student is learning about microscopy parts and how to focus your sample. Thanks, @ToivolaDiana @lmairino @TinoTuomisto for all your efforts!
We (@biif_sweden) are hiring! #BioImageAnalysis position - permanent - in Uppsala, Sweden. Join us to work with researchers all over Sweden in their bioimage analysis projects. Closing date: October 21, 2022. https://t.co/gh0PSvaBIx
How do emotions map to the body, and how could total-body PET help in resolving the bodily basis of emotions? See the latest opinion piece from @TurkuPETCentre now out in @ScandJPain https://t.co/95iRzUg8MS 👇
Human intelligence is a poor metaphor for what "AI" is doing. AI displays essentially none of the properties of human cognition, and in reverse, most of the useful properties of modern AI are not found in humans.
Our latest Issue is now complete! Check out the full Table of contents here: https://t.co/jMrJuKW7UB
On the cover is the winning image of the ELMI-FocalPlane @focalplane_jcs image contest, taken by Ciarán Butler-Hallissey @ButlerHallissey and titled 'Electric Love'.
I proudly present: the first Pylvänäinen et al! In this project we created a fast way to register 4D datasets (3D+t or 3D+ch) by using intensity projections and cross-correlation. Fast4DReg is available as Fiji update site, documentation here: https://t.co/wPLog9d3Kd