Peer-reviewed research in artificial intelligence, computer vision, and scientific machine learning
Sachs, S., Reinhard, S., Eilts, J., Sauer, M., Werner, C.
Frontiers in Cellular Neuroscience, 18
High-fidelity synaptic neurotransmission requires defined structural arrangement of synaptic proteins. We developed post-gelation immunolabeling expansion microscopy combined with Airyscan super-resolution microscopy to enable efficient labeling of protein complexes and visualization of trans-synaptic nanocolumns with 20-30 nm spatial resolution.
Eilts, J., Reinhard, S., Michetschlager, N., Werner, C., Sauer, M.
Neurophotonics, 10(4)
We developed post-expansion immunolabeling of eightfold expanded hippocampal neurons enabling efficient labeling with minimal linkage error and four-color 3D fluorescence imaging with 20-30 nm lateral resolution using Airyscan and structured illumination microscopy.
Reinhard, S., Helmerich, D. A., Boras, D., Sauer, M., Kollmannsberger, P.
BMC Bioinformatics, 23(1), 530
Core AI Research: Novel neural network architecture combining compressed sensing with deep learning
Localization-based super-resolution microscopy resolves macromolecular structures down to nanometers by reconstructing fluorescent emitter coordinates. We developed ReCSAI, combining compressed sensing with deep neural networks for confocal lifetime localization microscopy. This method efficiently fits irregular PSFs that occur in confocal imaging, combining the advantages of deep learning and compressed sensing for improved acquisition speed and throughput.
Geiger, N., Kersting, L., ..., Reinhard, S., et al.
Cells, 11(16), 2532
High-resolution SARS-CoV-2-RNA FISH and RTqPCR analyses demonstrate novel therapeutic targets. Advanced image analysis techniques were employed to investigate viral replication compartments and drug mechanisms.
Deng, C., Reinhard, S., Hennlein, L., ..., Sendtner, M.
Translational Neurodegeneration, 11(1), 31
Investigation of axonal degeneration and neuromuscular neurotransmission defects in spinal muscular atrophy using advanced computer vision techniques for analyzing dynamic organelle movements and stimulus-response mechanisms.
Berberich, A., Kurz, A., Reinhard, S., ..., Kollmannsberger, P.
Frontiers in Bioinformatics, 1, 55
Developed a new trainable quality measure based on Fourier Ring Correlation (FRC) for deep neural networks to map sparse sampling points to underlying density. The TensorFlow implementation can be easily integrated into existing deep learning workflows.
Trinks, N., Reinhard, S., Drobny, M., ..., Terpitz, U.
Communications Biology, 4(1), 1-12
Introduced an expansion microscopy method enabling super-resolved visualization of NK cell-fungal interactions. 4-fold expansion with confocal imaging resolves cytoskeleton rearrangement and lytic granule details with subdiffraction resolution.
Zwettler, F. U., Reinhard, S., Gambarotto, D., ..., Sauer, M.
Nature Communications, 11(1), 3388
Demonstrated that post-labeling expansion microscopy combined with single-molecule localization microscopy achieves molecular resolution. Re-embedding of expanded hydrogels enables dSTORM imaging with preserved ultrastructural details and improved labeling efficiency.
Zwettler, F. U., Spindler, M.-C., Reinhard, S., ..., Sauer, M.
Nature Communications, 11(1), 3222
Combined structured illumination microscopy with expansion microscopy to investigate synaptonemal complex molecular organization. Developed automatic image processing software for unbiased comparison of structural properties pre- and post-expansion.
Reinhard, S., Aufmkolk, S., Sauer, M., Doose, S.
Biophysical Journal, 116(11), 2073-2078
First-author publication: Automated registration using generalized Hough transform
Introduced an automated registration procedure based on the generalized Hough transform for correlative super-resolution microscopy. Developed software for registration and visualization of SIM and dSTORM images without artificial fiducial markers.
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