Month: November 2022

Yannik’s paper on our single-round multiplexed immunofluorescence assay for the high throughput screening of human immune cells is out in Science Advances! We (sometimes) call the approach Phenoplexing.

The observations stemming from the approach are remarkable: immune cell morphologies reveal an amazing amount of information on the health status of the blood donor, including age, sex, blood pressure, and inflammation.

The approach was first used in Jarrod Shilts’ Nature paper on immune cell wiring diagram.

Please also see this cool write-up at the ETH D-BIOL news & another retweet by Eric Topol :-).

Tim’s study on using deep learning to improve our pharmacoscopy workflows made it to the cover of Blood Cancer Discovery!

Remarkably, we find a strategy for the weakly-supervised label-free detection of healthy and malignant cells in our image-based ex vivo drug screens (pharmacoscopy) leads to better treatment predictions! We call the approach Deep Morphology Learning.

Please see the nice wrap-up on our work at the ETH D-BIOL news.

Additional resources to the paper are provided here.