Tag Archives: Calcium Imaging

Ambizione fellowship and an open PhD position

I’m glad to share that I am going to start my own junior research group at the University of Zurich in March 2023! As an Ambizione fellow, I will receive funding for my own salary, some equipment, consumables and a … Continue reading

Posted in Calcium Imaging, Data analysis, electrophysiology, machine learning, Microscopy, Neuronal activity | Tagged , , , , , , , | Leave a comment

Self-supervised denoising of calcium imaging data

This blog post is about algorithms based on deep networks to denoise raw calcium imaging movies. More specifically, I will write about the difficulties to interprete their outputs, and on how to address these limitations in future work. I will … Continue reading

Posted in Calcium Imaging, Data analysis, Imaging, machine learning, Microscopy, Neuronal activity, Review, zebrafish | Tagged , , , , | Leave a comment

Video introduction to CASCADE

A video with tutorial on CASCADE, a supervised method to infer spike rates from calcium imaging data. Continue reading

Posted in Calcium Imaging, Data analysis, electrophysiology, Imaging, machine learning, Microscopy, Neuronal activity | Tagged , , , , | Leave a comment

Large-scale calcium imaging & noise levels

Calcium imaging based on two-photon scanning microscopy is a standard method to record the activity of neurons in the living brain. Due to the point-scanning approach, sampling speed is limited and the dwell time on a single neuron reduces with … Continue reading

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5 reasons why to use Cascade for spike inference

Our paper on A database and deep learning toolbox for noise-optimized, generalized spike inference from calcium imaging is out now in Nature Neuroscience. It consists of a large and diverse ground truth database with simultaneous calcium imaging and juxtacellular recordings … Continue reading

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Fast scanning, triplet states and photon yield

In point-scanning microscopy like two-photon or confocal microscopy, a focused laser beam is scanned across the field of view and thereby sequentially recovers an image of the object. In this blog post, I will discuss the idea that scanning faster … Continue reading

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Online spike rate inference with Cascade

To infer spike rates from calcium imaging data for a time point t, knowledge about the calcium signal both before and after time t is required. Our algorithm Cascade (Github) uses by default a window that is symmetric in time … Continue reading

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Temporal dispersion of spike rates from deconvolved calcium imaging data

On Twitter, Richie Hakim asked whether the toolbox Cascade for spike inference (preprint, Github) induces temporal dispersion of the predicted spiking activity compared to ground truth. This kind of temporal dispersion had been observed in a study from last year … Continue reading

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Simultaneous calcium imaging and extracellular recording from the same neuron

Calcium imaging is a powerful method to record from many neurons simultaneously. But what do the recorded signals really mean? This question can only be properly addressed by experiments which record both calcium signals and action potentials from the same … Continue reading

Posted in Calcium Imaging, Data analysis, electrophysiology, machine learning, Microscopy, Neuronal activity, zebrafish | Tagged , , , , | Leave a comment

Discrepancies between calcium imaging and extracellular ephys recordings

To record the activity from a population of neurons, calcium imaging and extracellular recordings with small electrodes are the two most widely used methods that are still able to disentangle the contributions from single units. Here, I would like to … Continue reading

Posted in Calcium Imaging, Data analysis, electrophysiology, Imaging, Network analysis, Neuronal activity, Reviews | Tagged , | 1 Comment