From perturbation to evidence

We generate controlled experimental conditions and modulate specific circuits to test causal relationships among astrocytes, respiratory networks, and disease.

Experimental context

Preclinical models of chronic intermittent hypoxia and cortical ischemic stroke.

Data produced

Defined perturbations for testing causal relationships in circuits and cell populations.

We record respiratory, cardiovascular, and brain signals in awake animals, aiming to preserve a shared temporal reference across measurements.

Experimental context

Awake animals, cardiorespiratory recordings, and 32-channel multichannel LFP.

Data produced

Synchronized time series of ventilation, cardiovascular variables, and neuronal activity.

We identify and characterize, in vitro, cell populations linked to respiratory circuits while preserving sample, labelling, and acquisition context.

Experimental context

Immunofluorescence-labelled tissue and brain slices for in vitro studies.

Data produced

Cell distribution, morphology, and calcium signals in defined cells and circuits.

We transform signals, images, and gene-expression data into reproducible metrics while preserving the relationship between each result and its source record.

Experimental context

Electrophysiological signals, images, and gene-expression data.

Data produced

Reproducible metrics, temporal relationships, and interpretable multivariate patterns.