Lena Nordberg
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Lena Nordberg has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Adriano Aguzzi
Institute of Neuropathology, University of Zürich, Zürich, Switzerland
1 shared publication - Anna Maria Reuss
Institute of Neuropathology, University Hospital Zurich, Schmelzbergstrasse 12, 8091 Zurich, Switzerland
1 shared publication - Dominik Groos
Brain Research Institute, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
1 shared publication - Fabian F. Voigt
Brain Research Institute, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
1 shared publication - Fritjof Helmchen
Brain Research Institute, University of Zürich, Zürich, Switzerland
1 shared publication - Lukas Frick
Institute of Neuropathology, University Hospital Zurich, Schmelzbergstrasse 12, 8091 Zurich, Switzerland
1 shared publication
Latest Publications
- Open Access
- 14 August 2026
- Published by American Association for the Advancement of Science (AAAS) in Science Advances
- Vol. 12 (33)
aDISCO: A clearing method to enable 3D microscopy of large archival paraffin-embedded human tissue blocks
Human surgery and autopsy specimens are routinely stored as formalin-fixed paraffin-embedded (FFPE) tissue blocks for decades, creating vast archives of healthy and diseased tissues. While tissue clearing and whole-mount microscopy enable 3D analysis, FFPE human tissue blocks are often unsuitable for clearing and immunolabeling due to their large size and extensive cross-linking. Here, we introduce “archival” DISCO (aDISCO), a clearing method designed to overcome these challenges. aDISCO achieves effective clearing and immunolabeling of large samples stored for 15 years or more. We applied aDISCO to human brain, spinal cord, peripheral nerve, skin, muscle, heart, kidney, liver, spleen, colon, and lung, using a broad range of antibodies. Combining aDISCO with deep learning–based analysis to study focal cortical dysplasia (FCD), we found disrupted cortical layering with both focal and global neuronal density variations, features likely to be overlooked by conventional histology. In summary, aDISCO delivers datasets suitable for deep learning–based processing, enabling the detection of subtle and sparse pathologies in large archival human tissue specimens.
- 14 August 2026
- Published by American Association for the Advancement of Science (AAAS) in Science Advances
- Vol. 12 (33)
Open AccessaDISCO: A clearing method to enable 3D microscopy of large archival paraffin-embedded human tissue blocks
Human surgery and autopsy specimens are routinely stored as formalin-fixed paraffin-embedded (FFPE) tissue blocks for decades, creating vast archives of healthy and diseased tissues. While tissue clearing and whole-mount microscopy enable 3D analysis, FFPE human tissue blocks are often unsuitable for clearing and immunolabeling due to their large size and extensive cross-linking. Here, we introduce “archival” DISCO (aDISCO), a clearing method designed to overcome these challenges. aDISCO achieves effective clearing and immunolabeling of large samples stored for 15 years or more. We applied aDISCO to human brain, spinal cord, peripheral nerve, skin, muscle, heart, kidney, liver, spleen, colon, and lung, using a broad range of antibodies. Combining aDISCO with deep learning–based analysis to study focal cortical dysplasia (FCD), we found disrupted cortical layering with both focal and global neuronal density variations, features likely to be overlooked by conventional histology. In summary, aDISCO delivers datasets suitable for deep learning–based processing, enabling the detection of subtle and sparse pathologies in large archival human tissue specimens.