🌟Join ZEISS@BioLabs for an Exciting Workshop on AI-Assisted Workflows in Microscopy! 🌟 We are thrilled to invite you to our workshop on November 19, 2024, at BioLabs in Heidelberg. ➡️Discover innovative approaches to enhance your image acquisition and quantification workflows! ➡️Dive into the latest advancements in light microscopy and 2D image quantifications, and learn how AI is revolutionizing these fields by improving usability, reproducibility, and data quality. 🔗https://lnkd.in/ejPTFGEj
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I am pleased to share our new research paper! We investigated the in situ behavior of coarse particles in the froth phase using X-ray imaging, revealing extraordinary dynamics in particle movement. This includes the occurrence of reattachment and dropback at critical solid fractions—phenomena that were visually observed for the first time. You can access the full paper here: https://lnkd.in/gQd_VPKH This research is supported by #COEMinerals.
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🎉🍾A big shoutout to 𝗣𝗲𝘆-𝗦𝗵𝘆𝘂𝗮𝗻 𝗖𝗵𝗶𝗻 from Baylor College of Medicine at Benjamin Arenkiel's Lab for receiving an Inscopix Tech Award! Chin’s innovative research explores how glutamatergic neurons in the basal forebrain process sensory stimuli and drive behavior. By using Ca2+ imaging, they revealed how these neurons form odor associations, shedding light on their role in learning and preference. 🔬 Be sure to catch their presentation at #SfN24! Read the abstract here: https://hubs.ly/Q02RVYZF0
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The first paper of our lab on customizable broadband fiber sources - a potential solution for probing a wide array of biological and chemical contrasts together with multiphoton microscopy. Stay tuned for our subsequent works!
Our lab's first paper is officially out! https://lnkd.in/eQq7WtDF Studying diseases often relies on sliced & stained tissues, limiting our view and insights. The dream would be to understand processes in living tissue with unbiased, universal, and diverse molecular contrast – that will unlock new opportunities for better diagnosis and treatment. To realize this vision, we need powerful new light sources with diverse colors, high peak power, and easier access. This will boost specificity, depth, and scalability for noninvasive imaging in living organisms. Tong and Honghao's recent work on multimode fiber sources turns a common optics problem (perturbations) into a tool for tunable, label-free imaging. By adaptively and precisely controlling the perturbations, we could enhance or suppress different nonlinear wavelength conversion processes. This will allow visualization of diverse contrast and greater depth in living tissues. The core idea worked right away the first time when we tried it experimentally back in early 2022. Then it took us a year plus to understand why this could work and how to make it work better. The papers in the field of multimode fiber & nonlinear optics have been instrumental for us to learn the basics and unravel the not-always-straightforward but usually surprising experimental and simulation results. Also, we have been receiving tons of constructive feedback and suggestions during conferences and review processes, that truly helped us think deeper. Excited to keep exploring this intriguing path with everyone.
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Scientists at Inventia Life Science were challenged by their collaborator to generate a 3D neuronal model that closely resembled the human brain, was scalable to 96 well formats, was assay-ready, and was consistent enough to deploy across multiple labs. No small task! Inventia achieved this by combining ioGlutamatergic Neurons from https://hubs.ly/Q02Lj4Rv0 with iPSC-derived astrocytes, printed together in a 3D matrix using Inventia’s RASRTUM platform. As a result, their collaborator was able to build new drug discovery assays with improved physiological relevance. Watch the webinar on-demand to discover how: https://hubs.ly/Q02Lj8BR0
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Accurate targeting of specific cortical regions in mice can be a challenging task. Atlas-based approaches, while straightforward, fall short in accounting for individual variability in the size and stereotaxic position of cortical regions. Imagine if we could enhance this by tailoring cortical maps for each mouse. In our latest blog, we explore using widefield cortical imaging as a tool to create cortical functional maps and guide probe insertion in the mouse cortex with improved precision. https://lnkd.in/eBQHdJKE
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😳Are you imaging stressed cells on a microscope or are you controlling physiological conditions appropriately? 🤔 Don’t forget our #webinar with Okolab is TODAY! 3:30pm Melbourne time with Luca Lanzaro, CEO at Okolab It is sure to be an interesting overview on how to keep cells alive on a microscope - not just controlling temperature, but also humidity and gas. Registration details below 👇
🔬 Attention microscopists! 🔬 Our #webinar with Okolab is now scheduled for October 10! 3:30PM Melbourne/Sydney time Register here: https://lnkd.in/gVzBAEse Tune in to find out: 🎙 How to incubate live cells on a microscope. 🔥 All about Okolab's innovative Bold Line 3 incubator with complete sample feedback control over CO2, Humidity and Temperature. 💡 How you can upgrade or configure any microscope (almost) with Oko-Lab. Part of the Klein Scientific Live-Cell Imaging Series. Dedicated to empowering researchers with the latest innovations in microscopy. Visit www.kleinaustralia.com.au for more information.
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Empowering the Future of Drug Discovery & Disease Research with Reproducible 3D Phenotypic Cell Models
Neuron and astrocyte compatability with RASTRUM, and the relevance for drug discovery assays- check out this webinar on-demand!
Scientists at Inventia Life Science were challenged by their collaborator to generate a 3D neuronal model that closely resembled the human brain, was scalable to 96 well formats, was assay-ready, and was consistent enough to deploy across multiple labs. No small task! Inventia achieved this by combining ioGlutamatergic Neurons from https://hubs.ly/Q02Lj4Rv0 with iPSC-derived astrocytes, printed together in a 3D matrix using Inventia’s RASRTUM platform. As a result, their collaborator was able to build new drug discovery assays with improved physiological relevance. Watch the webinar on-demand to discover how: https://hubs.ly/Q02Lj8BR0
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Doctoral Candidate in Computational Neuroscience at Technical University of Munich | M.Sc. Neuroengineering
I am excited to share our latest work (and my first paper) on top-down modulation in canonical cortical circuits with short-term plasticity, now published in PNAS. Working with Yue Kris Wu and Julijana Gjorgjieva on this project was great fun. We show that experimentally identified short-term plasticity mechanisms can generate response reversal, a nonlinear phenomenon observed in cortical circuits with multiple interneuron subtypes, and how it relates to paradoxical effects and interneuron-specific stabilization. https://lnkd.in/dfa5xSBV
Top–down modulation in canonical cortical circuits with short-term plasticity | Proceedings of the National Academy of Sciences
pnas.org
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Making the world safer and healthier through pioneering innovations on light microscopy. Seeing is Solving.
Do you have limitations on widefield imaging for thick samples? Evident Life Science introduced a different illumination approach to image thick samples. The new SILA observation method remove blur in a simple way. Do you want to learn more about it? Don’t hesitate the opportunity to read this article from our Discovery Blog: https://lnkd.in/dEje4r2z
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researcher at Milano Chemometrics and QSAR Research Group presso Università degli Studi di Milano-Bicocca
These days Wil Gardner (from La Trobe university) is visiting our research group and today he presented a great seminar entitled "Enhanced materials characterization using ToF-SIMS imaging and machine learning", with lot of insights and applications. Time-of-flight secondary ion mass spectrometry imaging provide spatial-spectral characteristics of sample surfaces. The acquired images are hyperspectral and information-rich, but they are also very large and highly complex, leading to considerable challenges in interpretation and analysis. #Chemometrics has proven indispensable for these analyses! #ToFSIMS #machinelearning
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