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Vision in the European Focus

Modulating gap junction permeability in photoreceptor-degenerated retinas

Professor Eberhart Zrenner contributed to a research article that aims to understand the lateral gap junction (GJ)-mediated communication pathway in photoreceptor-degenerated retinas, which is crucial for effective treatment of functional disorders of neuronal membrane channels. GJs play a vital...
» Modulating gap junction permeability in photoreceptor-degenerated retinas

Sonogenetic for vision restoration

Professor Serge Picaud supervised a study that, for the first time, demonstrated the use of high-frequency ultrasonic stimulation after ectopic expression of a mechanosensitive ion channel of large conductance (MscL) to activate the visual cortex. MscL was expressed in vivo in both rat retinal...
» Sonogenetic for vision restoration

Toward a virtual human retinal organoid

Professor Hendrik Scholl co-authored a Nature Biotechnology publication. The study characterized retinal organoids by integrating iterative indirect immunofluorescence imaging with a computational approach, dense single-cell RNA sequencing, and a single-cell assay for transposase-accessible...
» Toward a virtual human retinal organoid

An overview of the imaging modalities and criteria used to characterize fibrosis in nAMD

Professor Sascha Fauser supervised a review article presenting the imaging modalities and criteria currently used to detect and quantify fibrosis in neovascular age-related macular degeneration (nAMD). The study reveals significant heterogeneity in the current characterization of fibrosis. Most...
» An overview of the imaging modalities and criteria used to characterize fibrosis in nAMD

Serum biomarkers for retinal neurodysfunction

Professor José Cunha-Vaz, a member of the European Consortium for the Early Treatment of Diabetic Retinopathy (EUROCONDOR), contributed to a study evaluating the utility of serum glial fibrillary acidic protein (GFAP) and neurofilament light chain (NfL) in identifying and monitoring retinal...
» Serum biomarkers for retinal neurodysfunction

A review on clinical management options for patients with RP

Professor Camiel J. F. Bonn supervised a review article presenting the currently available options to manage retinitis pigmentosa (RP). RP causes a gradual loss of visual function due to the degeneration of photoreceptors, with an individual-specific clinical course that is hard to predict. Although...
» A review on clinical management options for patients with RP

Artificial Intelligence (AI) in ophthalmic diagnostics

Professor Francesca M. Cordeiro co-authored a publication presenting a fully automated algorithm which, based on OCT images, can detect and quantify all six features of macular atrophy in wet AMD – namely: interrupted outer retina, interrupted retinal pigment epithelium, absence of outer retina,...
» Artificial Intelligence (AI) in ophthalmic diagnostics

Mireca signs transformative deal with Nasdaq-listed Graybug Vision

Mireca’s proprietary cyclic guanosine monophosphate (cGMP) analogues to be developed using Graybug’s sustained-release drug delivery technologies. The partnership is exclusive for the development of products targeting eye and ear disorders. Mireca will invest proceeds to develop the cGMP analogues...
» Mireca signs transformative deal with Nasdaq-listed Graybug Vision

The algebra of neurons

Neurons are constantly performing complex calculations to process sensory information and infer the state of the environment. For example, to localize a sound or to recognize the direction of visual motion, individual neurons are thought to multiply two signals. However, how such a computation is...
» The algebra of neurons

Understanding human vision through Deep Learning

By adapting techniques from the domain of artificial intelligence, such as deep learning, cognitive scientists from Osnabrück will study the core principles of human vision over the next five years. Professor Dr. Tim Kietzmann, who specializes in neuro-inspired Machine Learning, has been awarded the...
» Understanding human vision through Deep Learning