Single-cell RNA-seq transformed biology, but we still sample <0.001% of an organism.
2D sections lose 3D context.
What if we image the whole body first?
We Introduce DISCO-seq🤩: full 3D imaging then scRNAseq👇🏻https://t.co/kYkzAWBxUB
by @HarsharanBhatia, Laurent Simons et al.
Preprint! 🚨
“Pericyte and Endothelial Primary Cilia and Centrioles have Disparate Organization Across the Brain Microvasculature”
This project took an unexpected turn when we discovered that #pericytes have primary #cilia!
🔗 https://t.co/iR0PJgR7Vo
🧵1/8
Excited to share our new paper published @NeuroCellPress! We used voltage imaging combined with optogenetics in 4 major hippocampal cell types to study how the behavioural state modulates their firing, subthreshold dynamics, and gain https://t.co/kVzY7Ld9NK
🚨 Postdoc position in my lab @calico is live!
I'm looking for someone deeply curious about the aging brain🧠⌛️, who wants to build novel scientific projects from scratch and carry them to publication and, ideally, into their own lab🥼🧪. No neuroscience background needed.
Bottom line: We may have been measuring the wrong things about sleep.
Total hours, REM percentage, deep sleep duration - none predicted brain cleaning as well as norepinephrine pulse frequency did.
https://t.co/T5uroaIDIh
FACED 2.0: a method for high-speed, large FOV, volumetric 2-photon voltage and calcium imaging in the mouse and zebrafish brain.
https://t.co/tKChXaaC1X
🚀 We’re hiring!
Staff Scientist / Postdoc – Tissue Clearing & 3D Image Analysis (m/f/d) (LMU Munich)
Are you a great fit, or do you know someone outstanding, please reach out 🔁
If you want to at the frontier of whole-organ / whole-body 3D imaging, and help generate truly beautiful datasets that drive major biological discoveries and therapeutic development, see below ✨
We’re building the next-generation pipeline for tissue clearing + light-sheet microscopy + quantitative 3D analysis in the SyNergy Excellence Cluster (Mesoscale Hub) and we’re looking for someone excited to push this forward with us. 🧠🔬📈
🎥 I’m also attaching a short video showing the kind of high-quality imaging and datasets you’d be working with.
What you’ll do 🛠️
🔹 Lead and evolve tissue clearing + light-sheet workflows across collaborative SyNergy projects
🔹 Turn complex 3D datasets into robust quantitative insights (visualization, atlas registration, readouts)
🔹 Develop new methods and analysis pipelines together with our AI team 🤖
🔹 Maintain and optimize cutting-edge light-sheet systems (optional: support animal license writing)
What we’re looking for 🎯
✅ Strong hands-on experience in tissue clearing and/or fluorescence microscopy
✅ Solid experience with light-sheet microscopy and 3D imaging workflows
✅ Familiarity with 3D tools like Imaris / arivis Vision4D, stitching (e.g., BigStitcher), and quantitative analysis in cleared tissues
✅ Service mindset, great organization, and strong scientific English
How to apply 📩
Apply via the LMU Klinikum online application form https://t.co/VdsLg9RBUx
Please also send your application to: [email protected]
CC: [email protected]
📎 Include one PDF: short cover letter, CV, 2–3 referees, and earliest start date.
📍 Campus Großhadern (Munich) and Helmholtz Munich | 🕒 Full-time | 📅 Start: 01 January 2026
If you love high-quality imaging, cutting-edge biology, and building something that will matter, we’d love to hear from you. 🌍✨
#hiring #StaffScientist #Postdoc #TissueClearing #LightSheetMicroscopy #ImageAnalysis #SpatialBiology #Neuroscience #SyNergy #LMU #Munich
Neuroscientists record two main data modalities: electromagnetic waves and Spiking activities. A longstanding debate in neuroscience is whether the brain waves are essential for understanding how the brain works, or are they merely epiphenomenal. In more scientific terms, do the waves carry a causal influence on the behavior when spiking activities are recorded?
When I first heard about this from @ZabehErfan I assumed neuroscientists are already discussing in causal inference terms; turns out that it is not quite the case. Each neuroscientist has their own qualitative beliefs/knowledge about the brain mechanisms, but to our surprise, they are not using the causal inference semantics to express it.
The debate is not settled despite decades of advancement in recording technologies and statistical modeling breakthroughs, and it is not too surprising from a causal inference perspective: due to Causal Hierarchy Theorem (@eliasbareinboim et al. 2020), no amount of data alone can identify the causal quantities. Thus it is necessary to use a formal language to express the qualitative knowledge, and @yudapearl’s do-calculus is precisely the syntax and semantics we need to settle the spike-wave duality.
In particular, we ground the discussion in Structural Causal Models, and boil down the epiphenomenality claim to assessing a certain inequality:
P(behavior | spikes) ?= P(behavior | spikes, do(waves))
Once the qualitative domain knowledge is properly expressed in causal terms, e.g., a semi-Markovian causal graph, then a graphical criterion for epiphenomenality can be derived. Grounding the discussion in causal language sheds light on many hidden aspects of the problem, even if the debate remains unsettled:
1. What is the inference bottle neck? Is it the amount of data, regimes of data, scope of measurements, or the statistical modeling methods?
2. Data-driven knowledge discovery: what can be said about the causal graph using the data? which forms of heterogeneity and surrogate interventions are useful?
If you’re at @NeurIPSConf come check out our poster along many other cool work at @CauScien workshop!
Thrilled to share Milan's & Nimrod's great work exploring the evolution of visual processing🐢📷. Combining neurophysiology with gaze estimation in freely viewing turtles, they identified view-invariant representations in dorsal cortex. https://t.co/1WgUsegFPz
@ScienceAdvances
@PiatkevichL@yulonglilab Great! Already in contact with BrainCase (mail went into junk inbox...). We wilk try the BC-4389 rAAV-hSyn-DIO-NES-SomaFRCaMPi. Thanks!
Great commentary by @yulonglilab on our two recent papers introducing red genetically encoded biosensors for calcium and potassium imaging!
🔴 FRCaMPi - Enhanced red calcium sensor 🔴 RGEPOs - First-ever red potassium sensors
📖 https://t.co/6598F2iTr7