Recent Comments
Author Archives: P.T.R. Rupprecht
The larval zebrafish, and the adult zebrafish
Zebrafish are often used as a model organism for in vivo brain imaging, because they are transparent. Or at least that is what many people think who do not work with zebrafish. In reality, most people use zebrafish larvae for in vivo … Continue reading
Posted in Calcium Imaging, Neuronal activity, zebrafish
Tagged Calcium Imaging, zebrafish
Leave a comment
Neuroscience on Youtube
Recently, I’ve been to the Basel ICON conference, where the recent Nobel laureate Eric Betzig gave an impressive talk on microscopy techniques (including lattice light sheet, SIM and expansion microscopy). Some days ago, I found a similar talk by Eric … Continue reading
Posted in Data analysis, Microscopy, Network analysis
Tagged Data analysis, theoretical neuroscience
Leave a comment
Large field of view microscopes for mouse brain imaging
For typical confocal or two-photon microscopes that maintain (sub)cellular resolution, a high-magnification objective is needed (typically 16x, 20x or 25x). This in turn limits the field of view (FOV) to ⌀ 1.0-1.5 mm. For imaging in the mouse brain cortex, which is … Continue reading
Posted in Calcium Imaging, Imaging, Microscopy
Tagged Calcium Imaging, laser scanning microscopy, Microscopy
7 Comments
Spatial visualization of temporal components for neuronal activity imaging
The standard analysis workflow for neuronal activity imaging based on calcium signals is to 1) draw ROIs around putative neurons, 2) extract the average fluorescence time trace of this ROI, 3) work with this timetrace for subsequent analysis (principal components, … Continue reading
Posted in Calcium Imaging, Data analysis, Imaging, Neuronal activity
Tagged Calcium Imaging, zebrafish
Leave a comment
Reglo ICC serial port control via Matlab
For my experiments with zebrafish, I typically generate dynamic odor landscapes for the fish / fish brain explant by varying the speed of the wheels of an Ismatec peristaltic pump, thereby changing the concentration of the applied stimuli over time. Recently, I bought one of their digital … Continue reading
Posted in Uncategorized
Tagged Cole-Parmer, Ismatec, Matlab, Reglo ICC, serial port, USB
13 Comments
Fast z-scanning using a voice coil motor
We just published a paper on fast remote z-scanning using a voice coil motor. For 2P calcium imaging. It’s a nice paper with some interesting technical details. The starting point was the remote z-scanning scheme used by Botcherby et al. (2012) from … Continue reading
Posted in Calcium Imaging, Imaging, Microscopy, Neuronal activity
Tagged Calcium Imaging, laser scanning microscopy, Microscopy, Scanning
3 Comments
Modulating laser intensity on multiple timescales (x, y and z)
In point-scanning microscopy and especially when using resonant scanners, the intensity of the beam is typically modulated using a Pockels cell. For resonant scanning, the dwell time per micrometer is not constant along the scanned line, and one wants either to … Continue reading
Posted in Calcium Imaging, Imaging, Microscopy
Tagged Calcium Imaging, laser scanning microscopy, Microscopy, Scanning
1 Comment
Deep learning, part III: understanding the black box
As many neuroscientists, I’m also interested in artificial neural networks and am curious about deep learning networks. I want to dedicate some blog posts to this topic, in order to 1) approach deep learning from the stupid neuroscientist’s perspective and 2) to get a feeling … Continue reading
Undistort/unwarp images for resonant scanning microscopy
For image acquisition using a resonant scanning microscope, one of the image axes is scanned non-linearly, following the natural sinusoidal movements of the resonant scanner. This leads to a distortion of the acquired images, unless a online correction algorithm or … Continue reading
Posted in Calcium Imaging, Microscopy
Tagged Calcium Imaging, laser scanning microscopy, Microscopy, Scanning, zebrafish
1 Comment
Deep learning, part II : frameworks & software
As many neuroscientists, I’m also interested in artificial neural networks and am curious about deep learning networks. I want to dedicate some blog posts to this topic, in order to 1) approach deep learning from the stupid neuroscientist’s perspective and 2) to get a feeling … Continue reading
A blog about neurophysiology 