The Confocal Scanning Microscope market is experiencing significant growth, driven by various technological advancements and increasing demand across industries. In 2024, the market is valued at USD 15.42 billion and is projected to reach USD 32.54 Billion by 2031, exhibiting a compound annual growth rate (CAGR) of 11.26% during the forecast period.𝐂𝐥𝐢𝐜𝐤 𝐡𝐞𝐫𝐞 𝐓𝐨 https://lnkd.in/deffxsWG 𝐠𝐞𝐭 𝐰𝐞𝐥𝐥-𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐫𝐞𝐩𝐨𝐫𝐭 #confocalscanningmicroscopemarket #confocal #scanning #microscope #confocalscanningmicroscopemarketsize #confocalscanningmicroscopemarketshare #confocalscanningmicroscopemarketforecast #multiphotonconfocalmicroscopy #spinningdiskconfocalmicroscopy #semiconductors #lifesciences #materialsciences #nanotechnology#olympuscorporation #feico #visionengineering #carlzeiss #brukercorporation #danahercorp
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A confocal Raman microscope for advanced materials research and nanoscale analysis https://lnkd.in/gu5xTRHM #Raman #microscope #microscopy #spectroscopy #spectrometer #MaterialsScience #forensicscience
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microspectra.com
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A confocal Raman microscope for advanced materials research and nanoscale analysis https://lnkd.in/gPM8wM5d #Raman #microscope #microscopy #spectroscopy #spectrometer #MaterialsScience #forensicscience
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microspectra.com
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Unlocking industry secrets with Electron Microscopy! 🔬 Discover how EM revolutionizes quality control & failure analysis across various sectors. 🔗 https://lnkd.in/eZKbBzj6 #ElectronMicroscopy #QualityControl #FailureAnalysis #Innovation 🌟
Electron Microscopy in Industry: Quality Control and Failure Analysis
azonano.com
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Our break-through technology for electron microscopy has been published in the Journal of Microscopy 📖 The paper looks at how we are significantly increasing the speed, AND reducing the electron fluence, in four dimensional STEM. Credit as always to those involved: Alex Robinson, Amirafshar Moshtaghpour, Daniel Nicholls, Jack Wells, Miaofang Chi, Ian MacLaren, Angus Kirkland, and Nigel Browning. #electronmicroscopy #microscopy #4DSTEM #imaging #subsampling
High‐speed 4‐dimensional scanning transmission electron microscopy using compressive sensing techniques
onlinelibrary.wiley.com
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What happens when electrons pile up on the surface of a nonconductive sample? Using scanning electron microscopy (SEM) for high resolution imaging, charge accumulation like this will lead to distortion, blurring, and skewed contrast in the final SEM micrographs. Fortunately, the variable pressure level, accelerating voltage, and beam intensity flexibility of some SEM instrumentation lets you overcome these imaging challenges. Discover more about Phenom SEM capabilities in our new SEM article: https://ow.ly/vJqC50RII8g #electronmicroscopy #nonconductivesamples #SEM #electrons #LowVacuumImaging #PhenomDesktopSEM
SEM Imaging of Uncoated, Nonconductive Samples | Nanoscience Instruments
https://www.nanoscience.com
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Dichroic beamsplitters, vital in advanced optical systems, play a key role in precise light control. They reflect specific wavelengths while transmitting others, crucial in microscopy for simultaneous handling of multiple spectral channels. Selection aligns with fluorophore emissions, demanding accurate calibration to minimize crosstalk. We design and manufacture dichroic beamsplitters for various applications, including high-dimensional spectral imaging, confocal microscopy, live cell imaging, and fluorescence microscopy. https://lnkd.in/eSkSyGdX #dichroic #beamsplitter #imaging #fluorescence #microscopy
Dichroic Beamsplitter | VS Technology Imaging for Science
vst.co.jp
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✨ ML-enabled Scanning Probe Microscopy: Explainable Automation With the rapid growth of machine learning (ML) over the last decade, there's increasing curiosity—both in industry and academia—about what the microscopes of the future will look like. Will ML-powered microscopes serve as "co-scientists," collaborating with human operators? Perhaps. But LLMs are unlikely to run the instrument from the hardware level up. The key tasks for any microscope operator remain imaging and spectroscopy optimization—and these tasks consume the majority of instrument and operator time. However, optimizing instrument settings is challenging because it’s inherently subjective. Different operators have different criteria for what constitutes “good” imaging or spectroscopy and may use different strategies to achieve these goals. This subjectivity has long been a barrier to reproducibility and efficiency. In our latest work, Yu Liu demonstrates how this process can be automated, made traceable, and rendered explainable. We introduce reward functions—mathematical representations that combine human heuristics and physics—to guide the optimization process. This approach not only automates tuning but also makes operator goals explicit and comparable. With reward functions, we can quantify and standardize the goals of different operators, creating a shared "language" for instrument optimization. As an example, we applied this approach to dual amplitude resonance tracking (DART) piezoresponse spectroscopy. Historically, band excitation (BE) and DART were introduced in the same year 2007 by Stephen Jesse, Brian Rodriguez, Roger Proksch, Art Baddorf, and Sergei Kalinin https://lnkd.in/gSdcPSm4 and by Brian Rodriguez, Chris Callahan, Roger Proksch, and Sergei Kalinin in https://lnkd.in/esSFEswW. Both solve the problem of quantitative measurements when there PLLs do not work - via broadband detection and amplitude feedback respectively. While BE remained localized to Oak Ridge National Laboratory and hasn’t yet seen widespread commercial adoption, DART became a cornerstone of Oxford Instruments Asylum Research Inc. Yet DART, for all its utility, still requires manual tuning—until now. Our reward-function-driven framework enables automated and optimized DART tuning, bringing unprecedented efficiency and reproducibility to a critical workflow. This is just the beginning of what’s possible with ML-enabled scanning probe microscopy: automation that retains human expertise and intuition while making it traceable and standardized. We’re excited to see how these ideas shape the future of microscopy! #MachineLearning #Microscopy #ScanningProbeMicroscopy #Automation #MaterialsScience #Physics #Optimization University of Tennessee, Knoxville Pacific Northwest National Laboratory Oxford Instruments Asylum Research Inc. Materials Science and Engineering at the University of Tennessee UT Institute for Advanced Materials and Manufacturing https://lnkd.in/eZ6HwD42
Reward based optimization of resonance-enhanced piezoresponse spectroscopy
arxiv.org
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Happy Fluorescent Friday! Just like finding colorful Easter eggs, this publication finds nanoscale fenestrations carefully stained with our product! In this Optics Express study, the authors used our CF®568 Phalloidin Conjugate to incubate primary rat liver sinusoidal endothelial cells (LSECs) and demonstrate the improved performance of a fiber-based 2D- and TIRF-SIM microscope in its precise ability to image nanoscale morphology and reveal transcellular holes called fenestrations. This system is more compact and cost-effective and better utilizes fiber optics for a significantly increased field of vision (up to 150 × 150 µm), higher pattern contrast, and a spatial resolution below 100 nm with faster imaging as compared to most other custom Super-resolved structured illumination microscopy (SR-SIM) instruments. Read the full study here: https://lnkd.in/gJFDZAqz View our products used: Fluorescent CF® Dyes: https://lnkd.in/gk8hesnE Phalloidin Conjugates: https://lnkd.in/gNrCSTw8
High-speed TIRF and 2D super-resolution structured illumination microscopy with a large field of view based on fiber optic components
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Today's newsletter spotlights bio and life sciences, starting with our own John Oncea's look at what is being done to improve the accuracy and effectiveness of #nanopositioning systems. IDEX Health & Science, LLC - Melles Griot shares insight on flat dielectric mirrors including key design considerations and specifications necessary for selecting the appropriate flat mirror, and Alluxa, Inc tells you all you need to know about #ConeHalfAngle and how it impacts optical filter spectra. Iridian Spectral Technologies explains how to choose a #raman filter for drug ID and characterization, and Abrisa Technologies - HEF Photonics delves into practical aspects of mirror usage in optical systems for biology. #photonics #optics https://lnkd.in/ekPZkNxR
Today's Newsletter: Spotlight On Bio And Life Sciences
photonicsonline.com
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We are excited to share our recent app note on high-speed laser ablation ICP-TOFMS mapping with the #icpTOF. This technology enables full-elemental, quantitative imaging from major to trace elements in a single ablation run. We've achieved ablation speeds exceeding 1 Mpx/h, with imaging speed primarily limited by the laser repetition rate and sample transport from the laser ablation system. While this study was performed on the icpTOF 2R, the maximum time resolution for studying ultra-fast transient signals, such as nanoparticles, is 12 µs with the icpTOF S2. Learn more about how we measure all the elements, all the time below.
High-Speed Laser Ablation ICP-TOFMS Mapping at Mpx/h
https://www.tofwerk.com
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