Spotiflow: accurate and efficient spot detection for fluorescence microscopy with deep stereographic flow regression
Albert Dominguez Mantes(École Polytechnique Fédérale de Lausanne), Martin Weigert(German Research Centre for Artificial Intelligence), Gioele La Manno(École Polytechnique Fédérale de Lausanne), Suliana Manley(École Polytechnique Fédérale de Lausanne), Detlev Arendt(Heidelberg University), Anjalie Schlaeppi(École Polytechnique Fédérale de Lausanne), Elena Buglakova(Skolkovo Institute of Science and Technology), Anna Kreshuk, Georgios Tsissios(École Polytechnique Fédérale de Lausanne), Evangelia Skoufa, Efkan Durmuş(École Polytechnique Fédérale de Lausanne), Can Aztekin(École Polytechnique Fédérale de Lausanne), Eftychia Kyriacou(École Polytechnique Fédérale de Lausanne), Antonio Herrera, Irina Khven(École Polytechnique Fédérale de Lausanne), Luca Santangeli, Joachim Lingner(École Polytechnique Fédérale de Lausanne)
Cited by 10
Related Papers
Functional characterization of the TERRA transcriptome at damaged telomeres
|Nature Communications|2014|278
A role for mitotic bookmarking of SOX2 in pluripotency and differentiation
|Genes & Development|2016|177
Single-molecule sensing of peptides and nucleic acids by engineered aerolysin nanopores
|Nature Communications|2019|132
A quantitative telomeric chromatin isolation protocol identifies different telomeric states
|Nature Communications|2013|112