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Peter Rupprecht Profile
Peter Rupprecht

@ptrrupprecht

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Junior group leader in neuroscience - calcium imaging, ephys, plasticity, microscopy, data analysis. PhD with @RainerFriedri12, postdoc with @FritjofHelmchen.

Zürich, Switzerland
Joined October 2017
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@ptrrupprecht
Peter Rupprecht
9 months
Are you using GCaMP8 or planning to switch from GCaMP6? Then check out this new preprint from our lab! https://t.co/TZcjFdeYG4 - Calcium imaging - GCaMP8 vs. GCaMP6 - Spike inference - Imaging + ephys ground truth With F. Helmchen, K. Svoboda @svoboda314, M. Rozsa & X. Fang.
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@AdrianAWanner
Adrian A. Wanner
1 day
Happy to share the first paper from my journey at @psich towards X-ray connectomics, now out in @naturemethods: https://t.co/O7ZnREflNw
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@ptrrupprecht
Peter Rupprecht
14 days
New blog post, where I highlight a few interesting papers on astrocyte ultrastructure and function, with papers from the labs of Moritz Helmstädter @mh_lab, Kristen Harris, Andrea Volterra, Karin Pernet-Gallay, and Hailan Hu:
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gcamp6f.com
Astrocytes are brain cells that are often completely overlooked and dismissed or, in the opposite extreme, presented as mysterious devices that somehow solve all problems of computational neuroscie…
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@MichaelLinLab
Prof. Michael Lin
1 month
This is at once true and useful, and also what is wrong with science in the 21st century. Being a good scientist is about understanding a field well, thinking of unique hypothesis, and performing experiments carefully to address them. Being a *successful* scientist OTOH ...
@erturklab
Ali Max Erturk
1 month
I am often asked what the one skill is that young scientists should work on the most. My answer: your storytelling via presentations. The better you present, the more your ideas travel, the more doors open, and the more people want to work with you. A few tips: Have one clear
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@Prevedel_Lab
Prevedel Lab
3 months
@EMBLHeidelberg is looking for a new Head of Scientific Instrumentation! This is an exciting opportunity at the interface between scientific research and technology development, overseeing our mechanical and electronic workshops! https://t.co/dJ3Qze6d71
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@dav1dcg
David
3 months
Resolving synaptic events using subsynaptically targeted GCaMP8 variants "a ratiometric presynaptic GCaMP8m sensor accurately captures (...) presynaptic Ca2+ changes with superior sensitivity and similar kinetics compared to chemical dyes" https://t.co/RrMoseRhfq
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@AI4LifeTeam
AI4Life Team
4 months
⏳ Extra time unlocked! The #AI4Life challenges deadline is now August 31 — more time to train, tweak, and triumph with your best AI models for bioimage analysis! 🚀 Take on the challenge: 1️⃣ Denoising: https://t.co/BpymtSj6Wu 2️⃣ Calcium Imaging: https://t.co/g3G1oTGLvt
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@ptrrupprecht
Peter Rupprecht
4 months
New blog post about a fun project: I decorated my office by putting a poster of an EM picture of the hippocampal coronal column onto my walls: https://t.co/gFZDrCLu8n EM picture credit: https://t.co/fQdHyakAqt from the lab of @helenelab2020
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biorxiv.org
The hippocampal formation is thought to be crucial for memory and learning, with subarea cornu ammonis 1 (CA1) considered to play a major role in spatial and episodic memory formation, and for...
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@KuoHuaHuang1
Kuo-Hua Huang
5 months
Our new paper is published in Current Biology! In this project, we developed a model showing how social and depth information are integrated to drive affiliative behavior in zebrafish. See: https://t.co/zhAZYFzvVy
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@Prevedel_Lab
Prevedel Lab
5 months
Excited to share our latest Review on three-photon microscopy in the neurosciences - out today in @NatRevNeurosci ! Hopefully this will help spread this powerful deep-imaging technique even further. Access here: https://t.co/bE506bZQKo Thanks to all co-authors!
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@brunopichler
Bruno Pichler
5 months
Fantastic work (as always) from Che-Hang Yu and colleagues in Spencer Smith's lab @Labrigger. Neat method to increase scan speed and/or FOV in 2p microscopy. Commercially available from @pacificoptica . I'd love to build this for a client at some point! https://t.co/caj5Pv3ZIA
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@SfNJournals
SfN Journals
6 months
#JNeurosci: Results @ptrrupprecht et al. demonstrate how calcium imaging generalizes across CNS regions and enables the more accurate interpretation of calcium signals from the spinal cord dorsal horn of mice. https://t.co/NPmpDDVjyy
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@_TheTransmitter
The Transmitter
6 months
A statistical error known as pseudoreplication appears in more than half of recent mouse studies on neurological disorders, according to a new study. Peter Kind and Constantino Elfetheriou tell Lauren Schenkman why researchers should pay attention. https://t.co/dQFgf7Ratl
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thetransmitter.org
Most studies of neurological disorders in mice erroneously treat multiple samples from a single animal as independent replicates, according to a new analysis. But scientists and journals can take…
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@dgroos_neuro
Dominik Groos
6 months
https://t.co/hO5OzzVf32 Amazing work by Anna Maria Reuss from @UZH_ch! Clearing and staining of large archival FFPE human tissue blocks from various organs. This method now enables comprehensive 3D studies from FFPE tissue biobanks.
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biorxiv.org
During human surgeries and autopsies, specimens are regularly sampled and stored as formalin-fixed paraffin-embedded (FFPE) tissue blocks. Diagnoses are rendered by microscopical examination of...
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@ptrrupprecht
Peter Rupprecht
7 months
This looks like a great resource for GRIN lens implantation. And nice to see realistic typical examples of mean fluorescence images in Figure 5!
@pgolshani
Peyman Golshani
7 months
Congrats to Pingping Zhao in the lab for publishing this very useful protocol paper on GRIN lens implantation strategies
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@ptrrupprecht
Peter Rupprecht
7 months
Now published in Journal of Neuroscience!🥳 @SfNJournals with public reviews and open datasets:
jneurosci.org
Calcium imaging is a key method to record the spiking activity of identified and genetically targeted neurons. However, the observed calcium signals are only an indirect readout of the underlying...
@ptrrupprecht
Peter Rupprecht
1 year
New preprint on spike inference! How do models for spike inference trained on cortex generalize to very dissimilar datasets? To address this question, we performed analyses and experiments on excitatory and inhibitory neurons in the spinal cord: https://t.co/CqWOVBhWXI 1/5
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@FellinLab
Fellin Lab - Italian Institute of Technology
7 months
Our work on aberration-corrected endoscopes is out on @eLife as a Version of Record! Thanks to the reviewers for the constructive feedbacks. Link -> https://t.co/PCyBdAEM0J
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