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- Uppsala UniversitySE25 papers
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6 papers · 1 filter
Transcriptome-supervised classification of tissue morphology using deep learning
Axel Andersson, Gabriele Partel, Leslie Solorzano +1
Deep learning has proven to successfully learn variations in tissue and cell morphology. Training of such models typically relies on expensive manual annotations. Here we conjectur…
Cell segmentation of in situ transcriptomics data using signed graph partitioning
Axel Andersson, Andrea Behanova, Carolina Wählby +1
The locations of different mRNA molecules can be revealed by multiplexed in situ RNA detection. By assigning detected mRNA molecules to individual cells, it is possible to identify…
Adaptive Robust Learning using Latent Bernoulli Variables
Aleksandr Karakulev, Dave Zachariah, Prashant Singh
We present an adaptive approach for robust learning from corrupted training sets. We identify corrupted and non-corrupted samples with latent Bernoulli variables and thus formulate…
Topological defects
Nils Carqueville, Michele Del Zotto, Ingo Runkel
This is a survey article for the Encyclopedia of Mathematical Physics, 2nd Edition. Topological defects are described in the context of the 2-dimensional Ising model on the lattice…
3D-Printed Sheet Jet for Stable Megahertz Liquid Sample Delivery at X-ray Free Electron Lasers
Patrick E. Konold, Tong You, Johan Bielecki +23
X-ray Free Electron Lasers (XFELs) can probe chemical and biological reactions as they unfold with unprecedented spatial and temporal resolution. A principal challenge in this purs…
2D MXene Electrochemical Transistors
Jyoti Shakya, Min-A Kang, Jian Li +4
In the past two decades another transistor based on conducting polymers, called the organic electrochemical transistor (ECT) was shown and largely studied. The main difference betw…