ML Engineer at Anvajo. Applied machine learning for biomedical research. PhD in Physics. Finds cells beautiful. Python enthusiast. Developer of AIDeveloper
Our image was selected as the back cover of @LabonaChip! It was created by Mika Hayashi, a first-author, UTokyo PhD student. Outstanding art!
https://t.co/aekqATXFVn
Our accepted manuscript was opened in @LabonaChip ! The title is "Is AI essential? Examining the need for deep learning in image-activated sorting of Saccharomyces cerevisiae."
https://t.co/l9Vm5005lA
It doesn’t happen every day that you bump into Manu Prakash @PrakashLab. Thanks to the organizers for bringing all those excellent people together in Dresden! #EMBOlivingsys23@PoLDresden
@joachimgoedhart I used a script that rotates the image from -30 to 30 and checks each time for the sum in horizontal and vertical direction. Idea: when points align, there should be a peak. I you want I can message you the script.
We are looking for two talented „Bioimage Analysis and AI Research Software Scientists“ to join us @humantechnopole. Positions are funded via #AI4LIFE (HorizonEurope), and will help the life sciences to better utilize cutting-edge AI methods… 🧵
https://t.co/i3yzOqBZzN #AI#ML
In image activated cell sorting, it’s crucial to predict when cells arrive at the sorting point, especially when the latency is large. In our new paper we employ machine learning (XGBoost) and morphological features to predict sorting times more accurately
https://t.co/8aJv3hsAEu
Our new study shows that data availability statements are not very useful; 1670 (93%) authors who indicated that data are available on request either did not respond or declined to share their data with us. Journal of Clinical Epidemiology: https://t.co/4IT2Dgphl4
It's so cool to meet scientists with similar vision here @ISAC_CYTO and then spontaneously do some sightseeing. Thanks @SchraivogelS for the nice chat!
(please note the "Liberty Bell" in the background)
We are enjoying the in-person conference CYTO2022 (@ISAC_CYTO) in Philadelphia and are looking forward to our talks! Our team has a total of 8 talks 🤓!
Microalgae are 50x more efficient in taking up CO2 compared to terrestrial plants, which can be linked to their ability to relocate mitochondria (mt). We present an imaging flow cytometer that uses AI to discriminate mt-positioning and sort target cells: https://t.co/GNBVZ1Acte
While the term “throughput” is abundantly used, its definition in biomedical settings is not clear. I had the pleasure to discuss the issue with leading scientists in flow cytometry, high-throughput screening and sequencing. More info @naturemethods:
https://t.co/9EiLrFwKfy