Publications

Peer-reviewed research in artificial intelligence, computer vision, and scientific machine learning

16
Publications
372+
Citations
3
Nature Family

2024

Visualizing the trans-synaptic arrangement of synaptic proteins by expansion microscopy

Sachs, S., Reinhard, S., Eilts, J., Sauer, M., Werner, C.

Frontiers in Cellular Neuroscience, 18

Computer Vision Expansion Microscopy Neuroscience

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.

2023

Enhanced synaptic protein visualization by multicolor super-resolution expansion microscopy

Eilts, J., Reinhard, S., Michetschläger, N., Werner, C., Sauer, M.

Neurophotonics, 10(4)

Computer Vision Super-resolution Methods

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.

2022

FEATURED

ReCSAI: recursive compressed sensing artificial intelligence for confocal lifetime localization microscopy

Reinhard, S., Helmerich, D. A., Boras, D., Sauer, M., Kollmannsberger, P.

BMC Bioinformatics, 23(1), 530

AI & Machine Learning Computer Vision Compressed Sensing Deep Learning

🎯 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.

The Acid Ceramidase Is a SARS-CoV-2 Host Factor

Geiger, N., Kersting, L., Schlegel, J., Stelz, L., Fähr, S., Diesendorf, V., Roll, V., Sostmann, M., König, E.-M., Reinhard, S., Brenner, D., Schneider-Schaulies, S., Sauer, M., Seibel, J., Bodem, J.

Cells, 11(16), 2532

Computer Vision Biomedical AI Image Analysis

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.

Impaired dynamic interaction of axonal endoplasmic reticulum and ribosomes contributes to defective stimulus–response in spinal muscular atrophy

Deng, C., Reinhard, S., Hennlein, L., Eilts, J., Sachs, S., Doose, S., Jablonka, S., Sauer, M., Moradi, M., Sendtner, M.

Translational Neurodegeneration, 11(1), 31

Computer Vision Live Imaging Neuroscience

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.

2021

Fourier Ring Correlation and Anisotropic Kernel Density Estimation Improve Deep Learning Based SMLM Reconstruction of Microtubules

Berberich, A., Kurz, A., Reinhard, S., Paul, T. J., Burd, P. R., Sauer, M., Kollmannsberger, P.

Frontiers in Bioinformatics, 1, 55

Deep Learning Computer Vision Quality Metrics

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.

Subdiffraction-resolution fluorescence imaging of immunological synapse formation between NK cells and A. fumigatus by expansion microscopy

Trinks, N., Reinhard, S., Drobny, M., Heilig, L., Löffler, J., Sauer, M., Terpitz, U.

Communications Biology, 4(1), 1-12

Computer Vision Expansion Microscopy Nature Family

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.

2020

Molecular resolution imaging by post-labeling expansion single-molecule localization microscopy (Ex-SMLM)

Zwettler, F. U., Reinhard, S., Gambarotto, D., Bell, T. D. M., Hamel, V., Guichard, P., Sauer, M.

Nature Communications, 11(1), 3388

Computer Vision Super-resolution Nature Family Methods

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.

Tracking down the molecular architecture of the synaptonemal complex by expansion microscopy

Zwettler, F. U., Spindler, M.-C., Reinhard, S., Klein, T., Kurz, A., Benavente, R., Sauer, M.

Nature Communications, 11(1), 3222

Computer Vision Image Analysis Nature Family Automated Analysis

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.

2019

Registration and Visualization of Correlative Super-Resolution Microscopy Data

Reinhard, S., Aufmkolk, S., Sauer, M., Doose, S.

Biophysical Journal, 116(11), 2073-2078

Computer Vision Image Registration Methods Correlative Imaging

🎯 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.

2021 & Earlier

Ex-dSTORM and automated quantitative image analysis of expanded filamentous structures

Zwettler, F. U., Reinhard, S., Sauer, M.

Methods in Cell Biology, 161, 317-340

Image Analysis Automation Methods

Step-by-step protocol for expansion microscopy combined with single-molecule localization microscopy. Includes automated image analysis and expansion factor determination for fiber-like structures.

Dynamic remodeling of ribosomes and endoplasmic reticulum in axon terminals of motoneurons

Deng, C., Moradi, M., Reinhard, S., Ji, C., Jablonka, S., Hennlein, L., Lüningschrör, P., Doose, S., Sauer, M., Sendtner, M.

Journal of Cell Science, 134(22), jcs258785

Live Imaging Dynamic Analysis Neuroscience

Investigation of endoplasmic reticulum dynamics and ribosome assembly in axonal growth cones using high-resolution microscopy and live-cell imaging. Revealed novel functions of axonal ER in dynamic regulation of local translation.

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