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Ali Max Erturk

@erturklab90,919 subscribers

CEO of @DeepPiction, director at Helmholtz, LMU Prof. AI-based technologies for health. We’re🇩🇪🇹🇷🇭🇷🇨🇳🇮🇹🇮🇳🇸🇮🇴🇲🇨🇱🇭🇺🇧🇬🇺🇦🇷🇴🇦🇹🇹🇼🏳‍🌈

Shorts

Our recent work in nature, MouseMapper uses foundation-model AI, mapping perturbations in mouse body cell-by-cell, revealed unexpected facial nerve damage. Proud to see >75K accesses & >60 news stories in the first week. next come>

Our recent work in nature, MouseMapper uses foundation-model AI, mapping perturbations in mouse body cell-by-cell, revealed unexpected facial nerve damage. Proud to see >75K accesses & >60 news stories in the first week. next come>

31,365 просмотров

We are introducing LipiGo 🤗 A programmable DNA–lipid nanocarrier 🧬 with built-in targeting logic. It de-targets the liver and redirects mRNA delivery into lymphoid organs, enhancing therapies requiring the immune system. by cerenkimna Karoline 1/n

We are introducing LipiGo 🤗 A programmable DNA–lipid nanocarrier 🧬 with built-in targeting logic. It de-targets the liver and redirects mRNA delivery into lymphoid organs, enhancing therapies requiring the immune system. by cerenkimna Karoline 1/n

32,038 просмотров

Using vDISCO tissue clearing, and a new ultrabright chemical labeling strategy, this Neuron paper introduces LINCS, a powerful method for rapid 3D connectivity mapping in large tissue samples, from whole brains to whole bodies. A very nice advance for scalable circuit mapping, especially by combining strong, uniform labeling with sparse single-neuron reconstruction. Outstanding work by the Rui Lin lab. Full paper: #TissueClearing #LightSheetMicroscopy #Neuroscience #BrainMapping #Connectomics #3DImaging

Using vDISCO tissue clearing, and a new ultrabright chemical labeling strategy, this Neuron paper introduces LINCS, a powerful method for rapid 3D connectivity mapping in large tissue samples, from whole brains to whole bodies. A very nice advance for scalable circuit mapping, especially by combining strong, uniform labeling with sparse single-neuron reconstruction. Outstanding work by the Rui Lin lab. Full paper: #TissueClearing #LightSheetMicroscopy #Neuroscience #BrainMapping #Connectomics #3DImaging

13,883 просмотров

We have developed MouseMapper AI, a deep learning ensemble for the analysis of whole-body systems, including the nervous and immune systems, to map disease/drug perturbations tissue by tissue, organ by organ, at the cellular level in 3D. MouseMapper uncovered obesity-induced whole-neuronal changes, most notably, a loss of trigeminal nerve endings linked to impaired whisker sensitivity, as well as tissue-specific macrophage clustering across the body. Kaltenecker, Horvath, Al-Maskari, Kolabas, Chen… Ertürk, bioRxiv (2024)

We have developed MouseMapper AI, a deep learning ensemble for the analysis of whole-body systems, including the nervous and immune systems, to map disease/drug perturbations tissue by tissue, organ by organ, at the cellular level in 3D. MouseMapper uncovered obesity-induced whole-neuronal changes, most notably, a loss of trigeminal nerve endings linked to impaired whisker sensitivity, as well as tissue-specific macrophage clustering across the body. Kaltenecker, Horvath, Al-Maskari, Kolabas, Chen… Ertürk, bioRxiv (2024)

35,553 просмотров

An unbiased study of whole biological systems is key to deciphering complexity. Our new paper describes the steps & applications of vDISCO whole mouse imaging in Nature Protocols work by Ruiyao Marika Cai, Ilgın Kolabas et al. #vDISCO #clearing 🧵👇1/n

An unbiased study of whole biological systems is key to deciphering complexity. Our new paper describes the steps & applications of vDISCO whole mouse imaging in Nature Protocols work by Ruiyao Marika Cai, Ilgın Kolabas et al. #vDISCO #clearing 🧵👇1/n

49,187 просмотров

Videos

erturklab's profile picture

🚀 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 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

Ali Max Erturk

14,703 просмотров • 5 месяцев назад

erturklab's profile picture

We are thrilled to see that our recent Nature Biotechnology paper just became the most accessed publication in the journal within only three months (>225K accesses 🤩)—a fantastic achievement reflecting the power of teamwork! This paper has 7 first authors: two computer scientists, two biologists, and three chemists working together. It perfectly illustrates something I’ve learned deeply over the past 10 years leading my group: great science is mostly the synergy of diverse minds and skills. Building a successful team is like assembling Lego bricks—each person complements the others, fits precisely, and collectively forms something much greater than any single piece. Over the years, we’ve made mistakes and learned valuable lessons, particularly in finding team members whose values and work styles align with our team culture. Now, we’re more intentional about ensuring a mutual fit, making the collaboration enjoyable, reciprocal, and highly productive. This paper is a perfect example: by combining high-resolution imaging and AI, our interdisciplinary team enabled unprecedented visualization and therapeutic development at the single-cell level throughout entire organisms. Proud of the team effort behind this impactful research and deeply grateful to each member who made it possible! What are your experiences working in a highly collaborative team vs. better focusing on your own project? The latter is totally fine and works perfectly for many academic labs.

Ali Max Erturk

19,658 просмотров • 1 год назад