Nils Norlin

Lund university

nils.norlin@med.lu.se

Keywords

3D imaging, 3D spatial omics, DVP, hardware development, Light microscopy, light-field microscopy, light-sheet microscopy, microbiome, neuroscience

Key Publications

Josh Moore, Daniela Basurto Lozada, Sébastien Besson, John Bogovic, Jordão Bragantini, Eva M. Brown, Jean Marie Burel, Xavier Casas Moreno, Gustavo de Medeiros, Erin E. Diel, David Gault, Satrajit S. Ghosh, Ilan Gold, Yaroslav O. Halchenko, Matthew Hartley, Dave Horsfall, Mark S. Keller, Mark Kittisopikul, Gabor Kovacs, Aybüke Küpcü Yoldaş, Koji Kyoda, Albane le Tournoulx de la Villegeorges, Tong Li, Prisca Liberali, Dominik Lindner, Melissa Linkert, Joel Lüthi, Jeremy Maitin Shepard, Trevor Manz, Luca Marconato, Matthew McCormick, Merlin Lange, Khaled Mohamed, William Moore, Nils Norlin, Wei Ouyang, Bugra Özdemir, Giovanni Palla, Constantin Pape, Lucas Pelkmans, Tobias Pietzsch, Stephan Preibisch, Martin Prete, Norman Rzepka, Sameeul Samee, Nicholas Schaub, Hythem Sidky, Ahmet Can Solak, David R. Stirling, Jonathan Striebel, Christian Tischer, Daniel Toloudis, Isaac Virshup, Petr Walczysko, Alan M. Watson, Erin Weisbart , Frances Wong, Kevin A. Yamauchi, Omer Bayraktar, Beth A. Cimini, Nils Gehlenborg, Muzlifah Hanifa, Nathan Hotaling, Shuichi Onami, Loic A. Royer, Stephan Saalfeld, Oliver Stegle, Fabian J. Theis & Jason R. Swedlow.
OME-Zarr: a cloud-optimized bioimaging file format with international community support. Histochem Cell Biol (2023). https://doi.org/10.1007/s00418-023-02209-1

Oscar André, Johannes Kumra Ahnlide, Nils Norlin, Vinay Swaminathan & Pontus Nordenfelt.
Data-driven microscopy allows for automated targeted acquisition of relevant data with higher
fidelity, Cell reports methods (2023) 3, 100419.
https://doi.org/10.1016/j.crmeth.2023.100419

Nils Wagner, Fynn Beutenmuller, Nils Norlin, Jakob Gierten, Joachim Wittbrodt, Martin Weigert, Lars Hufnagel, Anna Kreshuk & Robert Prevedel. Deep learning-enhanced light-field imaging with continuous validation. Nature methods (2021) 18, 557–563.

Christian Tischer, Ashis Ravindran, Sabine Reither, Nicolas Chiaruttini, Rainer Pepperkok & Nils Norlin. BigDataProcessor2: A free and open-source Fiji plugin for inspection and processing of TB sized image data. Bioinformatics, (2021) https://doi.org/10.1093/bioinformatics/btab106

Nils Wagner*, Nils Norlin*, Jakob Gierten Gustavo de Medeiros, Bálint Balázs, Jochen Wittbrodt, Lars Hufnagel & Robert Prevedel. Instantaneous isotropic volumetric imaging of fast biological processes,
Nature Methods 16, (2019) 497–500

SciLifeLab / Contact / Nils Norlin

The Norlin Lab is excited about molecular profiling of tissues and cells with aim to enhance our capabilities within diagnostics and prognostics. Our research bridges microscopy, image analysis, and hardware & software development. Our main applications center around the lung and cancer.

We also develop various other hardware and software solutions for the life sciences. Occasionally we venture into neuroscience, infection-, molecular- or developmental-biology in collaboration with other research groups. The lab is strategically located at the medical faculty, in close proximity to both LTH and the Physics Department, and ideally situated to take on interdisciplinary projects.

Recently, we have started to invest time into autonomous automation both for lab equipment and microscopy. Nils has a background in physics, chemistry, and molecular biology with postdoc experience from e.g. European molecular biology laboratory focusing on microscopy hardware and method development.

Nils is a member of several research communities and networks (e.g. QUAREP-LiMi, GESTALT ans SMWG) and open source software projects.

Our team is constantly looking for additional recruitments and currently we have oppertunities for MSc thesis projects and postdoc scholarships. Come join us!