The BioImage Informatics facility is our favorite image analysis facility at ScilifeLab! 🙂
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:
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:
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:
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!
God fortsättning everyone! Happy New Year! 🙂
Neubias is back with great image analysis/handling webinars!
Here are 5 webinars with interesting information about how to handle Big Data.
See here for more details about the ALM super resolution microscopy course in January. Note that the webinars are open to everyone (see registration email at the bottom of the page) and are always very interesting talks. 😊
The Live Cell imaging facility will run again its intensive light microscopy course in Jan-Feb 2021.
The schedule can be found here.
As usual, all lectures will be publicly broadcasted live. So if you think that a lecture could be useful for you, you are welcome to listen, without registration, by following this link.
Due to the current pandemics, only registered students will be allowed in the lecture room.
The course comprises lectures, workshops, imaging of your own sample, demos… It will run 26 Jan-12 Feb, 3 days/week (tues-thurs) 9:00-17:15.
There are only 16 spots. The course counts for 6 credit points.
The rest of the time (the course counts for 4 weeks) is used for home assignments. Mondays and Fridays will also be used for individual workshops where we image your own sample.
The application process is open now until the 16th of November. Please read carefully the eligibility criteria. You will need to sent me some images of your sample at the time of application. This course is only open to people who already have some experience of fluorescence microscopy.
Microscopy: improve your imaging skills – from sample preparation to image analysis
At the end of the course, the participants will be able to:
1- Describe the difference between wide field, confocal and light sheet microscopes as well as the different types of confocal microscopes and choose which system is most suited to their experiments
2- Pick the best combination of fluorophores for their experiment by matching their spectra with the microscope light source and filters, identify and eliminate bleed-through and cross-excitation problems
3- Explain objective specifications and limitations and choose the appropriate objective for their own experiments
4- Describe how to fix, mount and handle their sample in a way that is optimal for imaging
5- Find their sample and the area of interest without bleaching it
6- Adjust the condenser for proper DIC imaging (Koehlering)
7- Explain how to set the following parameters on a wide field, a confocal or a light sheet system to best match the requirements of their sample and reliably answer their scientific question: resolution, pixel size, averaging, scan speed, illumination power, detector gain and offset, camera readout rate, exposure time and camera binning
8- Explain which applications require a hardware or a software autofocus, a spectral detector, a resonance scanner, two-photon or super resolution microscopy
9- Explain the advantages in using the automation of a microscope system to collect multidimensional data
10- Explain how to deal with images before publication in scientific journals
11- Describe the imaging requirements for automated image analysis
12- Run an image analysis pipeline on freeware (ImageJ/FIJI, Cell Profiler) designed for their own images and scientific question.
Please spread the word to your colleagues.
We are looking forward to meeting you and your sample! 😃