Discover and read the best of Twitter Threads about #ascbembo19
Most recents (2)
1/ At #ASCBEMBO19 we will present five posters and a tech talk on #aimicroscopy and #CLEM. Details here: drvtechnologies.com/ascbembo2019
Many thanks to our collaborators Hari Shroff, Jiji Chen, @huzhao4, Rachel Wong, Chris Combs, @3i_inc.
#microscopy #imageanalysis #Aivia #ASCBEMBO2019
Many thanks to our collaborators Hari Shroff, Jiji Chen, @huzhao4, Rachel Wong, Chris Combs, @3i_inc.
#microscopy #imageanalysis #Aivia #ASCBEMBO2019
2/ P35/B36 Universal EM Connectomic analyses by Deep Learning Powered App‐matching Image Conversion
drvtechnologies.com/post/ascb-embo…
With Prof. Rachel Wong and @Sallywing
#ASCBEMBO19 #AImicroscopy #Aivia #AiviaCloud #imageanalysis #microscopy #CellBiology #machinelearning #drawacell
drvtechnologies.com/post/ascb-embo…
With Prof. Rachel Wong and @Sallywing
#ASCBEMBO19 #AImicroscopy #Aivia #AiviaCloud #imageanalysis #microscopy #CellBiology #machinelearning #drawacell
3/ P57/B58 GPU‐accelerated Machine Learning‐powered 3d Image Segmentation at Scale
Details: drvtechnologies.com/post/ascb-embo…
#ASCBEMBO19 #AImicroscopy #Aivia #AiviaCloud #imageanalysis #microscopy #CellBiology #machinelearning #drawacell #pixelclassifier #imagesegmentation
Details: drvtechnologies.com/post/ascb-embo…
#ASCBEMBO19 #AImicroscopy #Aivia #AiviaCloud #imageanalysis #microscopy #CellBiology #machinelearning #drawacell #pixelclassifier #imagesegmentation
I think most biologists would benefit from learning to code. Learning programming languages gives your brain a new way to think and is deeply satisfying (for me and probably you, too). I've collected my favorite resources for image analysis in python below #womenwhocode #python
(Quick plug: if you're intrigued about image analysis and coding and will be at #ASCBEMBO19, visit my poster at board B18 on Tuesday 12/10 from 1:30 PM - 3:00 PM, where I'll share my approach to analyze single molecule RNA data in three dimensional space!)
I approach "how to get started?" with the perspective of a self taught programmer who had developed tools that are useful to answer biological questions we have in the @LabLerit
