Andreas M. Kist

CoReg is a motion correction tool for in vivo calcium imaging that outperforms existing methods by using tracking-based registration.

POME provides graph-based embeddings for partially observed mixed-type biomedical data, achieving state-of-the-art imputation and enabling downstream analyses like subgroup discovery and predictive modeling.

This paper presents an automatic system to evaluate semantic segmentation quality in laryngeal endoscopy images, showing its performance matches human raters using intersection over union metric.

DeepD3 provides an automated framework for quantifying dendritic spines from microscopy data, validated across multiple datasets and conditions.

The paper shows larval zebrafish use feedback control for short-term visual feedback changes and update a cerebellar internal model for long-term adaptation.

The paper uses light-sheet imaging and graph analysis to study antidepressant effects on brain network activity in zebrafish, showing genotype-specific responses to drugs.

Stytra is an open-source software for larval zebrafish behavioral experiments, enabling stimulus control, tracking, and data logging with modular design and extensibility.

The paper identifies three functional Purkinje cell regions in zebrafish that encode visual or motor signals during reflexive behaviors.