It is now time to apply to the intensive LCI microscopy course Jan/Feb 2022: Microscopy: improve your imaging skills – from sample preparation to image analysis
The aim for this course is to improve the microscopy skills of students and researchers who have already used a microscope to acquire digital images of fluorescent samples but feel that their knowledge is limited.
All the lectures at the LCI microscopy course will also broadcasted live online, free of charge and there is no need to register.
All details about the course including course schedule, how to apply, and how to follow the lectures are found here.
Scroll down to read the kind testimonies of our dear students! 😊
Hope you enjoy the LCI facility microscopy course 2022!
Fluorophores are in constant development.
There is now a new generation of Alexa Fluor fluorophores: the Alexa Fluor Plus. They can be purchased already coupled to secondary antibodies on the ThermoFisher website.
Brilliant violet antibodies are also very bright and despite their name, they come in all colours. The can be purchased from Biolegend which produces the fluorophore.
Another excellent source of bright fluorophores is the Janelia Fluor dyes. They can be purchased coupled to antibodies from the NovusBio website.
Scilifelab invited Jennifer Lippincott-Schwartz to give a talk IRL in Solna on November 8th. Jennifer works a lot with microscopy and is an excellent speaker so her talk is guaranteed to be inspiring!
Here is more info.
The BioImage Informatics facility is our favorite image analysis facility at ScilifeLab! 🙂
They are looking for 2 bioinformatician working with microscopy images. Here is the first job ad. And here is the second one.
Please spread the word! 🙂
You can join the Switzerland’s Image and Data Analysis School, ZIDAS 2021.
This one-week school provides a hands-on introduction to image processing and analysis, with an emphasis on biologically relevant examples.
This school is for you if…
* you are a life-science researcher with a pressing need to quantify your light-microscopy images.
* you are uncertain about how to: Best calculate co-localisation, do deconvolution, automate the counting of cells, track objects over time, handle massive amounts of image data, record your image-analysis workflows in a reproducible manner.
More information can be found here: https://2021.zidas.org/
Check out the Nikon Artificial Intelligence (NIS.ai) webinar series to understand how Ai can help you in your microscopy experiments.
The NIS.ai Webinar Series will take place on Tuesdays at 14:00hrs and we are delighted to announce the first two talks:
- June 29th 14:00 – Dr Carlo Beretta from Heidelberg University on “How to build a Bioimage Analysis Workflow with multiple image analysis tools”
- July 6th 14:00 – Dr Marko Popovic from Nikon Centre of Excellence in Amsterdam on “Quantitative pathology”
Program and free registration: here.
Artificial Intelligence, Deep Learning and Neuronal Networks are taking over the world, including microscopy. Within the next couple of years, you might well end up wondering how you got anything done without them!
Having an idea how Artificial Intelligence, Deep Learning and Neuronal networks work means that you will be able to come up with ideas about how they can help you in your research.
The Neubias (Network of European image bioanalysts) webinars and meetings are a good place to learn.
Here are 2 upcoming webinars about tools to train and use AI algorithms.
This MOOC for undergrad students by the University of Montpellier is about labeling and imaging vertebrate embryos.
All the videos are also available on their YouTube channel.
As far as I know, this is the first pure microscopy MOOC (Massive Open Online Course), dealing with sample preparation, imaging and data handling!
If you know of another microscopy MOOC (I know of some image analysis MOOC but not microscopy), please leave me a comment or sent me an email! 🙂
Lots of interesting courses and webinars about microscopy in these corona times. The BioImage Informatics facility at Scilife will present how useful it is to build imaging pipelines with Fiji/imageJ.
April 6th, 10:00-11:00: “ImageJ/Fiji – Make Your Own Macros – Overview”. This is not to teach how to script but to give you an overview of the scripting possibilities in ImageJ/Fiji. Please register here.
Version 2.0 of TissUUmaps is now released: TissUUmaps allows fast interactive display of tissue slide images and uses an overlay to display any sort of marker data on top. Be it spatially resolved gene expression, per cell data, or regions of interest. TissUUmaps is developed in the Wählby-Lab, with involvement of BIIF, and was first published in https://doi.org/10.1093/bioinformatics/btaa541.
Try out TissUUmaps and interact with a in-situ-sequencing dataset on a brain slice!
Advanced Methods in Bioimage Analysis, Online EMBO Practical Course, 26 Jun – 2 Jul 2021; Registration Deadline: 5 Apr 2021
This advanced course concentrates on teaching cutting-edge concepts and tools for quantitative image analysis, and will seek to upgrade the competencies of future bioimage analysis experts on both theoretical algorithm advancements as well as on practical implementation skills. BIIF is part of the scientific organization team. Register here.
Global BioImaging-ZEISS webinar series in Light Microscopy
Check here to see some nice general microscopy webinars by Global Bioimaging, the global pendant to Euro Bioimaging:
- Tuesday, 30th March at 15:00 CEST: Introduction to Confocal Microscopy.
- Tuesday, 20th April at 15:00 CEST: Multi-colour imaging – where are the limits & what are the opportunities?
- Tuesday, 11th May at 15:00 CEST: Super-resolution: What is it? How can you do it? What does it enable?
- TBA: From 2D to 4D imaging – how switching to a sheet of light has revolutionised volume acquisitions in Life Science.
- TBA: Methods for Clearing your specimens – what are the options and which should you choose?
- TBA: Automation in modern microscopy: easy ways to prevent costly accidents and enable your users with tools for easy experimental set up.
As usual the lectures at the LCI microscopy course will broadcasted live online, free of charge and there is no need to register.
Title: Microscopy: improve your imaging skills – from sample preparation to image analysis
The aim for this course is to improve the microscopy skills of students and researchers who have already used a microscope to acquire digital images of fluorescent samples but feel that more knowledge could help them.
Applications are closed but all lectures will be broadcasted live and open to anyone without registration.
The course covers the following topics:
- Optics, image formation, fluorescence, fluorophores, microscope and microscopy types
- Objectives and refraction index, Cameras and detectors
- Noise and background, Cameras and detectors, Bit depth and saturation, Multicolour imaging
- Resolution and contrast, Sample preparation, Immunostaining
- Nyquist sampling, Confocal and wide field settings, Scaling up and speeding up, High throughput/content
- Volume imaging, deconvolution, multiphoton, Clearing and expansion
- Live cell imaging, Fourier, AI, Super Resolution microscopy
- Data handling, OMERO.figure, Requirements for image analysis, Colocalization
- Image processing and analysis
Check the course schedule and details of how to join the Zoom webinars. Scroll down to read the kind testimonies of our dear students! 😊
Here is the course syllabus.
Hope you enjoy the LCI facility microscopy course 2021!