Search results “Image analysis for microscopy”
Microscopy: Image Analysis (Kurt Thorn)
Learn more: https://www.ibiology.org/talks/image-analysis/ This lecture shows how and why to perform background subtraction and shading correction of digital microscope images, how digital image filters work and which ones to use, and describes thresholding and manipulation of binary images such as erosion and dilation.
Views: 8118 iBiology Techniques
Microscopy: Cameras and Digital Image Analysis (Nico Stuurman)
Learn more: https://www.ibiology.org/talks/digital-image-analysis/ This lecture describes how digital cameras for microscopes work, what a "pixel" is, Nyquist sampling, the dynamic range, noise, and color cameras. The features of an image is described, included bit-depth, intensity scaling and histograms, file formats and basic image processing.
Views: 6825 iBiology Techniques
Tute1: Basic Image Processing with ImageJ
You've labelled your sample with multiple fluorophores and carefully taken pictures of each fluorophre. How do you put those images together into something you can publish?
Views: 18479 IMB Microscopy
Computational Microscopy: Utilizing Image Processing and Neural Networks
www.wolfram.com/wolfram-u/ This event features demos and tutorials using Wolfram technologies for 2D and 3D image analysis and computer vision. Wolfram's integrated workflow combines high level image processing and machine learning in one system, allowing to solve a variety of problems from image enhancement to classification. Notebook Link: https://wolfr.am/phzFiKpx
Views: 714 Wolfram
Hands-on Activity Demonstration: Particle Size from Microscopy Images
Size is one of the fundamental properties of an aerosol particle. To measure nanoparticle size distributions, samples can be collected with air filters and battery-operated pumps. The filter may then be viewed in a Scanning Electron Microscope (SEM). Using a scale on the SEM image, the sizes of nanoparticles can be determined. In this activity, learners measure the sizes of particles in SEM images and create graphs of particle size distributions.
Views: 4795 METPHAST Program
Olympus Stream Image-Analysis Software Overview
Stream Image-Analysis Software details: http://bit.ly/11rxlED Today's busy work environment requires advanced tools that promote efficiency and adapt to everyone's individual workflow. The OLYMPUS Stream image analysis software allows you to seamlessly acquire images, process and measure them, and create a flexible database that also accommodates other tools in your workflow, such as SEMs, AFMs, and optical microscopes. The OLYMPUS Stream system provides you with the flexibility to fit your product to meet your needs without changing your operation. Sign up for our Newsletter: http://bit.ly/1sQqOyj
Views: 4787 Olympus IMS
Microscopy  Image Analysis Kurt Thorn
Views: 61 Putri Aura
HALO - image analysis platform for digital pathology
The next generation digital pathology image analysis platform. Supporting both whole slide and snapshot analysis in both brightfield and fluorescence. Including modules for FISH, SISH, CISH, IHC, Oncology, Metabolism, Neuroscience, Tox Path, and more.
Views: 5251 IndicaLabs
Image software for grain size analysis and measurement
http://MagniSci.com http://MagniSci.com/blog.php Grain size analysis in microscopy is useful for inspection and quality control purposes. It helps determine the strength of the material, along with its physical and mechanical properties About MagniSci: MagniSci is an application platform for scientific image analysis. Each app is small and simple, tailored to a specific examination task in microscopy. Product of Divergent Rays Computing, a Toronto-based company. Website: http://MagniSci.com Blog: http://MagniSci.com/blog.php Twitter: https://twitter.com/MagniSci
Bryan Mills Nikon Center of Excellence Overview – Microscopy and Quantitative Image Analysis
Bryan Millis Senior Research Specialist Recorded November 11, 2016 Bryan Millis provides an overview of Vanderbilt University's Nikon Center of Excellence. https://cisrweb.mc.vanderbilt.edu/CISR/index.php Follow Vanderbilt on Twitter: https://twitter.com/vanderbiltu, on Instagram: http://instagram.com/vanderbiltu and on Facebook: https://www.facebook.com/vanderbilt. See all Vanderbilt social media at http://social.vanderbilt.edu.
Particle size analysis for microscopy and sedimentation
http://MagniSci.com http://MagniSci.com/blog.php The size of particles is analyzed within an image, taken by the transmission electron microscope (TEM). Useful for both sedimentation and the analysis of grains within various materials.
Producing a Figure for publication containing microscopy images in MS Word
A quick guide to a method I use to inserting microscopy (in this case confocal fluorescent images) pictures into Microsoft word for presentation, publication or producing a report. All footage is the property of James Clark ©2014 Dory Video/James Clark www.doryvideo.co.uk
Views: 8788 Dory Video
Image Processing with Fourier Transform
Sidd Singal Signals and Systems Spring 2016 All code is available at https://github.com/ssingal05/ImageTransformer
Views: 48140 Sidd Singal
Microscopy: Cameras and Detectors II: Specifications and Performance (Nico Stuurman)
Learn more: https://www.ibiology.org/talks/cameras-detectors-ii/ This second detector lecture discusses how to match the pixel size of your camera to the optical resolution of the microscope, it touches on quantum efficiency and its improvement by back-illumination, it then discusses various noise sources, such as photon shot noise, read-noise and fixed pattern noise, ways to reduce noise in the image such as binning and electron multiplication gain and shows how measurement of noise can be used to measure the camera's photon conversion factor.
Views: 6599 iBiology Techniques
Microscopy Image Processing with APEER
APEER is digital microscopy platform enabling you to analyze your microscopy images. This video is a walkthrough of what you can do with APEER: Automate, Build, Combine, Share, Vizualize.
Views: 104 Apeer_micro
Advanced Microscopy and Image Analysis at LLUSM
Overview of the Advanced Imagine and Microscopy core facility at Loma Linda University School of Medicine
Views: 533 LLUSM
The Scanning Electron Microscope
Scanning Electron Microscope - Main components - Basic principle - Practical procedure - Imaging of surfaces and chemical analysis Responsible for this video: Prof. Dr.-Ing. Rainer Schwab, Hochschule Karlsruhe (Karlsruhe University of Applied Sciences), Germany
Views: 499056 MaterialsScience2000
Microscopy Image Browser: A Platform for Segmentation and Analysis of Multidimensional Datasets
Microscopy Image Browser: A Platform for Segmentation and Analysis of Multidimensional Datasets. Ilya Belevich et al (2016), PLoS Biology http://dx.doi.org/10.1371/journal.pbio.1002340 Understanding the structure–function relationship of cells and organelles in their natural context requires multidimensional imaging. As techniques for multimodal 3-D imaging have become more accessible, effective processing, visualization, and analysis of large datasets are posing a bottleneck for the workflow. Here, we present a new software package for high-performance segmentation and image processing of multidimensional datasets that improves and facilitates the full utilization and quantitative analysis of acquired data, which is freely available from a dedicated website. The open-source environment enables modification and insertion of new plug-ins to customize the program for specific needs. We provide practical examples of program features used for processing, segmentation and analysis of light and electron microscopy datasets, and detailed tutorials to enable users to rapidly and thoroughly learn how to use the program.
Views: 166 ScienceVio
Corneal Confocal Microscopy (CCM) image analysis [part 3]
This educational video shows you how to trace the corneal nerve fibres in a CCM image using the protocol established by Professor Rayaz Malik & Dr. Ioannis Petropoulos at the University of Manchester, United Kingdom. Special thanks to Dr. Ioannis Petropoulos and Mr. Georgios Ponirakis for presenting this educational video. The video was made by Mr. Oliver Smith, courtesy of Weill Cornell Medicine in Qatar.
Automating Quantitative Confocal Microscopy Analysis; SciPy 2013 Presentation
Authors: Fenner, Mark; Fenner, Barbara, King's College, Wilkes-Barre, PA Track: Medical Imaging Confocal microscopy is a qualitative analytical tool used to visualize the associations between cellular processes and anatomical structures. Quantitative analysis of confocal images uses domain expertise, in the form of background correction, and statistical calculations to give semi-quantitative comparisons among experimental conditions. Extended automation of quantitative confocal methods will (1) reduce the time consuming effort of manual background correction and (2) give a fully quantitative method to associate cellular process with structure. The purpose of this project is: (1) to develop automated methods to quantitatively assess colocalization of multiple fluorescent labels within confocal images and (2) to apply these methods to assess colocalization of trkB.t1 and BDNF to three types of organelles: endosomes, lysosomes, and transport organelles. Computing quantitative colocalization values requires image correction for background noise. We perform background correction in three ways: (1) manual, (2) automated heuristic analysis of the label intensity histograms, and (3) application of a regression model developed from a subset of manually corrected images. Using the corrected images, we compute a set of domain specific correlations: Pearson's and Mander's coefficients, the 'colocalization coefficients' (M1, M2, m1, and m2), and the 'overlap coefficients' (k1 and k2). The project is implemented, end-to-end, in Python. Pure Python is used for managing file access, input parameters, and initial processing of the repository of 933 images. NumPy is used to apply manual background correction, compute the automated background corrections (reducing false positive results and manual labor), and to calculate the domain specific coefficients. We visualize the raw intensity values and computed coefficient values with Tufte-style panel plots created in matplotlib. A longer term goal of this work is to explore plausible extensions of dual-label coefficients to triple-label coefficients.
Views: 3097 Enthought
Scanning Electron Microscopy (SEM) Lecture with Animations and Real Measurement
Scanning Electron Microscopy (SEM) is explained in this video and using a scanning electron microscope a sample is studied for demonstration. The first part of the lecture is dedicated for learning the basics with the help of animations and the second part shows how the real SEM actually works. The SEM demo measurement was done at the Institute of Physics, University of Tartu Here is our short video series, where we use SEM to study a variety of samples from everyday life and popular science: https://www.youtube.com/playlist?list=PLsLmmrdahd7PMQtW7EsRb-t3u3Z-HUsw0 Follow Us on Facebook: https://www.facebook.com/CaptainCorrosion/ Visit our SEM image gallery: https://captaincorrosion.com/gallery/
Views: 72957 Captain Corrosion
Aivia - [Voxel series webinar] Introduction to 2D Microscopy Image Analysis
Basic principles in 2D cell count and tracking microscopy image analysis. The Voxel webinar series is designed for students and scientists looking to improve their understanding of microscopy data visualization and analysis. To register for upcoming webinars: https://www.drvtechnologies.com/webinar
Views: 85 DRVISION Official
Phase Microscopy Analysis - Image-Pro Plus Software
http://www.mediacy.com - This tutorial demonstrates how Image-Pro Plus software can be used to perform Phase Microscopy Analysis.
Views: 1714 Media Cybernetics
Need a Camera for Your Microscope? Choose Lumenera's INFINITY Microscopy Cameras
Lumenera's INFINITY cameras are compatible with any microscope, come with image analysis software, 4-year warranty, and exceptional customer support. Need help selecting a microscope camera? Learn more: http://www.lumenera.com/products/microscopy.html
Views: 8240 Lumenera Corporation
Microscopy image analysis for in vivo imaging of embryo development - Andres Santos
Andres Santos presents at the M+Vision Consortium Open House in Boston, October 12, 2011.
Views: 108 MIT linQ
Microscopy: High Throughput Microscopy (Jan Ellenberg)
Learn more: https://www.ibiology.org/talks/high-throughput-microscopy/ Determining the genes involved in different cellular processes is essential for understanding how cells function. However, with 23,000 protein coding genes in the genome, how can these molecular players be identified? This lecture discusses the methodology behind high throughput content screening by describing a series of experiments aimed at identifying genes involved in cell division. Both high throughput microscope imaging and computational analysis of phenotypes are demonstrated and discussed.
Views: 7634 iBiology Techniques
Microscopy: Introduction to Digital Images (Kurt Thorn)
Digital images are collections of measurements of photon flux. To display, manipulate, store and make measurements of digital images, you need a basic understanding as provided in this lecture.
Views: 4152 iBiology Techniques
Fourier transforms in image processing (Maths Relevance)
A brief explanation of how the Fourier transform can be used in image processing. Created by: Michelle Dunn See video credits for image licences.
Views: 19136 Swinburne Commons
AFM data analysis
CHE 422 Inorganic Chemistry Gold Nanoparticles measuring particle size by atomic force microscopy
Views: 3995 dungeychem
Microscopy: Quantitative Analysis of Speckle Microscopy (Clare Waterman)
Learn more: https://www.ibiology.org/talks/analysis-of-speckle-microscopy/ Fluorescent speckle microscopy is a technique that allows monitoring of dynamics in polymeric structures by doping in a very low level of fluorescently labeled monomer into the polymer. The small number of fluorescent molecules make fluorescent speckles that show up as diffraction-limited bright spots in the image. Here, Clare Waterman, developer of this technique, describes computational tools (developed by Gaudenz Danuser) for automatic quantitative analysis of speckle microscopy data.
Views: 1285 iBiology Techniques
Tute2: Basic Image Processing for Colour Images in ImageJ
You've carefully prepared your samples, labeling them with multiple fluorophores, and you've photographed each fluorophore with a colour camera. How do you put your images together into something you can publish?
Views: 6731 IMB Microscopy
Theory of Colocalization Analysis
Demonstrating a relationship between two bio-molecules is a common biological problem that can be tackled using fluorescence microscopy. The ability of microscopists to demonstrate relationships in an objective fashion was enhanced by the introduction of Pearson's correlation coefficient (PCC), a standard statistical analysis designed to measure the strength of a linear relationship between two variables, in this case fluorescent intensities from two images. When PCC is calculated for all of the pixels in an image pair, regardless as to whether they contain data from positively labelled structures, or background intensities, these calculations generate "global" values for PCC. In this tutorial, a PerkinElmer Application Specialist discusses some of the ambiguities with using global PCC, and describes how using a thresholded PCC can bring clarity to colocalization studies in fluorescent microscopy. For more information about the Volocity Software that is referenced in this tutorial, please visit http://bit.ly/18p0vWX
Views: 9316 PerkinElmer, Inc.
Image Processing Made Easy - MATLAB Video
Explore the fundamentals of image processing with MATLAB. Download Image Processing Resource Kit: https://goo.gl/jHuo2p Get a Free MATLAB Trial: https://goo.gl/C2Y9A5 Ready to Buy: https://goo.gl/vsIeA5 Cameras are everywhere, even in your phone. You might have a new idea for using your camera in an engineering and scientific application, but have no idea where to start. While image processing can seem like a black art, there are a few key workflows to learn that will get you started. In this webinar we explore the fundamentals of image processing using MATLAB. Through several examples we will review typical workflows for: Image enhancement – removing noise and sharpening an image Image segmentation – isolating objects of interest and gathering statistics Image registration – aligning multiple images from different camera sources Previous knowledge of MATLAB is not required. About the Presenter: Andy The' holds a B.S. in Electrical Engineering from Georgia Institute of Technology and a B.A. in Business from Kennesaw State University. Before joining MathWorks, Andy spent 12 years as a field applications engineer focused on embedded processors at Texas Instruments, and 3 years as a product marketing manager for real-time software at IntervalZero.
Views: 254342 MATLAB
Interpretation of the Urinalysis (Part 3) - Microscopy and Summary
The final part of a short series on urinalysis interpretation, including microscopy of casts and crystals.
Views: 132948 Strong Medicine
NeCTAR Cloud Based Image Analysis and Processing Toolbox HCA-Vision
This video demonstrates use of HCA‐Vision component of the project, which is developed for automating the process of quantifying cell features in microscopy images. It can reproducibly analyse complex cell morphologies. This video shows how to build a workflow using NeCTAR cloud-based image analysis and processing toolbox. Astrocyte analysis is used as an example to show the procedure of building the workflow for future reuse, sharing and publishing on Galaxy's published workflows. Project team: Tomasz Bednarz, Dadong Wang, Yulia Arzhaeva, Piotr Szul, Shiping Chen, Neil Burdett, Alex Khassapov, Darren Thompson, Luke Domanski, Tim Gureyev, John Taylor Project blog: http://cloudimaging.blogspot.com.au/ Project info on the NeCTAR website: http://www.nectar.org.au/cloud-based-image-analysis-and-processing-toolbox Project info on the CSIRO website: http://www.csiro.au/en/Organisation-Structure/Divisions/Mathematics-Informatics-and-Statistics/Nectar.aspx Please contact us if you're interested in using out toolbox for the research purposes.
Views: 1121 CloudImaging
Scanning Electron Microscopy (SEM): animation of 3 types of imaging
Scanning electron microscopy (SEM) is a powerful imaging technique which produces a largely magnified image by using electrons and X-rays instead of light. Primary electrons come from the electron gun situated at the top of the microscope. Secondary electrons originate from the specimen as a result of displacement by the primary electrons. Backscattered electrons consist of high-energy electrons originating in the primary electron beam that are reflected or back-scattered out of the specimen. SEM can be coupled with an X-ray spectrometer which is called energy-dispersive X-ray spectroscopy (EDX). At rest, an atom within the specimen contains ground state electrons. The primary electrons from the electron gun excites an electron in an inner shell, prompting its ejection as a secondary electron, resulting in the formation of an electron hole within the atom’s electronic structure. An electron from an outer higher energy shell then fills the lower energy hole, and the excess energy is released in the form of an X-ray photon. Each element of the periodic table emits X-rays at distinctive energies due to distinct elemental electronic structure. Thus, X-ray emission data can be analysed to characterise the elemental composition of the specimen and also perform area mapping. Other molecular animation videos available at http://www.chemistry.nus.edu.sg/education/undergrads/CourseResources/course_resources.htm - Video Gallery or via the "Animol" app on iOS and Android.
Views: 49325 NUS Chem Emelyn Tan
Microscopy: Fluorescence Lifetime Imaging Microscopy (FLIM) (Philippe Bastiaens)
Learn more: https://www.ibiology.org/talks/fluorescence-lifetime-imaging/ The fluorescence lifetime of a dye molecule is the amount of time that elapses between excitation of the dye and its emission of a photon Fluorescence lifetime imaging is the technique by which this lifetime is imaged and can be done using either widefield or confocal (time correlated single photon counting) methods. The fluorescence lifetime of a dye depends both on the dye and on the environment surrounding the dye. Because of this, FLIM can be a sensitive probe for environment as well as FRET. This lecture discusses fluorescence lifetime, microscopes used to image it, and some biological applications of FLIM.
Views: 16301 iBiology Techniques
Transmission Electron Microscope TEM Lecture #1
This is the first lecture on TEM, and the topic is column details, electrostatic lenses and contrast methods: diffraction contrast, phase contrast. Your guide: Magnus Hummelgård. Playlist with all the materials characterization videos https://www.youtube.com/watch?v=bjNTfHlZW98&list=PLwCFBj9ZpOBbVW04LGO9UoXQPLUe9BtqG
Views: 32596 Magnus Hummelgård
Cell Express - one-stop platform for image analysis, statistics and data visualization.
Gaining quantitative insights from cell microscopy images can be a tedious task. A deep understanding of image analysis and bioinformatics concepts is required. When analyzing images, biologists are distracted by software errors and screens full of cryptic analysis configuration parameters. Data is processed on slow computers and sharing results with others can be difficult. Generating meaningful statistics from the results requires yet more effort. When refining the analysis, more parameters are adjusted meaning more delays before extracting any useful insights from the data. While outsourcing can address some of these pains, it often requires long discussions, and the dependency on contractors can lead to results being irreproducible or not to specification. Introducing Cellexpress. Cellexpress is an effortless one-stop platform for performing image analysis, statistics and data visualization – empowering biologists to extract quantitative insights from cell microscopy images. Cellexpress provides a pleasant user interface allowing for web-based interactions with everything from images to plots. Cellexpress runs CellProfiler on advanced ad-hoc clusters for super-fast calculations. With analysis and software versions locked in ‘docker’ containers, no more surprises running old projects after software updates! Cellexpress provides a library of preset analysis configurations with working examples, exposing only the most relevant parameters. For custom tasks, describe your needs and request specialized analysis. Get expert help from within your team or externally and manage it through cellexpress. Upload your images, wherever they are. Annotate wells with matching tags and now they are ready for processing! Images are processed in the cloud, as cheap or as fast as you need it. When the results are ready, view them as a heatmap together with their corresponding values. Quickly reference the pre-defined well annotations in the same view. Click the heatmap to display images within a well. Explore your data! Browse through imaging channels and calculated overlays. Another handy feature is live boxplotting of results! Customize the boxplots and highlight your message. Exclude a single well or an entire annotation group and view the updated plots. Download images and plots for use in your slide deck. Iteratively refine your analyses by simply processing more images, adjusting analysis parameters or requesting additional expert help. Cellexpress - A fresh take on cell image analysis. Just handle the biology, we’ll take care of everything else! Visit us at http://www.cellexpress.io for a live demo today!
Views: 186 Ahmed Hosny
Microscopy: Super-Resolution: Structured Illumination Microscopy (SIM) (David Agard)
Learn more: https://www.ibiology.org/talks/structured-illumination-microscopy/ This lecture describes a several methods for approximately doubling the resolution of the light microscope: 1) illuminating and detecting through two objectives, 2) structured illumination (SIM) with a patterned light source, and 3) saturating (high intensity) structured illumination to provide further resolution extension. The methods and examples of image are presented.
Views: 42411 iBiology Techniques
Xiaowei Zhuang (Harvard/HHMI) Part 1: Super-Resolution Fluorescence Microscopy
https://www.ibiology.org/biophysics/super-resolution/ Zhuang begins her lecture by explaining that the resolution of traditional light microscopy is about 200 nm due to the diffraction of light. This diffraction limit has long hampered the ability of scientists to visualize individual proteins and sub-cellular structures. The recent development of sub-diffraction limit, or super resolution, microscopy techniques, such as STORM, allows scientists to obtain beautiful images of individual labeled proteins in live cells. In Part 2 of her talk, Zhuang gives two examples of how her lab has used STORM; first to study the chromosome organization of E. coli and second, to determine the molecular architecture of a synapse.
Views: 84962 iBiology
Microscopy: Live Cell Imaging and Environmental Control (Kurt Thorn)
Learn more: https://www.ibiology.org/talks/live-cell-imaging/ To image living cells with a microscope, they must stay alive. Here we discuss how to control the temperature, humidity, and atmosphere (CO2 concentration) around your cells so that they survive being imaged. We discuss both simple and more complex systems for environmental control.
Views: 5885 iBiology Techniques
Using Jenkins and  iiif technologies to review digital microscopy images
To review cellular images acquired from High Content Screening (HCS) using a digital microscope, we use the Cantaloupe image server and the Openseadragon image viewer. Both image server and viewer are IIIF compliant. The application is a Jenkins project that uses the Active Choice plugin to embed interactive controls and HTML elements into a Jenkins build form.
Views: 74 Ioannis Moutsatsos
Microscopy: Microscope Imaging and Koehler Illumination (Ron Vale)
Learn more: https://www.ibiology.org/talks/koehler-illumination/ This lecture covers the lenses of the microscope and how they are used to focus light onto a specimen and how light from the specimen is focused onto a camera or the retina of an eye. Koehler illumination, which provides even illumination of a sample, is described.
Views: 30342 iBiology Techniques
Principle Of Transmission Electron Microscopy
Transmission electron microscopy (TEM) is a microscopy technique in which a beam of electrons is transmitted through an ultra-thin specimen, interacting with the specimen as it passes through it. It works on the principle of nature of electrons as they exhibit less wavelength when bombarded at high velocity. An image is formed from the interaction of the electrons transmitted through the specimen; the image is magnified and focused onto an imaging device, such as a fluorescent screen, on a layer of photographic film, or to be detected by a sensor such as a charge-coupled device. https://en.wikipedia.org/wiki/Transmission_electron_microscopy
Views: 38041 Hussain Biology
Aberdeen Centre for Electron Microscopy, Analysis and Characterisation
ACEMAC, the Aberdeen Centre for Electron Microscopy, Analysis and Characterisation is a Core Facility at the University of Aberdeen open from February 2018. It is based around a Zeiss GeminiSEM 300 VP FEG SEM, which is an electron microscope that enables nanoscale imaging of a very wide range of samples, from rocks to metals to biological cells and butterflies, and also imaging of some types of samples that are hard to examine in a vacuum.
Fluorescence microscope demo video – EVOS FL
Learn more at thermofisher.com/evosfl REVOLUTIONIZING FLUORESCENT MICROSCOPY The Invitrogen™ EVOS™ FL Cell Imaging System is a fully integrated, digital, inverted imaging system for four-color fluorescence and transmitted-light applications. It is powerful, yet easy-to-use and delivers high-definition images with exceptional convenience. The unique, user-changeable light cubes, sensitive camera, and precision-engineered optical system make the EVOS FL Cell Imaging system ideal for both demanding and routine fluorescence imaging applications. The EVOS FL Cell Imaging System offers you these important advantages: • Easy installation; no maintenance, assembly, alignment, or calibration • Designed for four-color fluorescence and transmitted light applications • Choose from more than 20 user-changeable fluorescent light cubes • Five-position objective turret with front controls Learn more at thermofisher.com/evosfl http://www.thermofisher.com/us/en/home/life-science/cell-analysis/cellular-imaging/cell-imaging-systems/evos-fl.html?cid=fl-we111030-2 Compare cell imaging systems http://www.thermofisher.com/us/en/home/life-science/cell-analysis/cellular-imaging/cell-imaging-systems.html Take a virtual tour http://thermofisherdemo.com/evos_fl/index.html

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