LCI microscopy course, vintage 2021 :)

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! 😃

Broadcasted lectures from the LCI microscopy course and private demos of light sheet and cameras

Our course starts tomorrow! 😀

Target audience:

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 and want to improve their skills.

Registrations are closed but all lectures are open to everyone without registration.

  • The schedule and details of the venue are here.
  • All lectures are also available online live. The link and instructions to watch are here.
  • Make sure you check the schedule in case of last minutes changes.

If you are in Sweden, you are welcome to try some of the equipment on demo with your own sample.

To book at timeslot, please contact the responsible person directly.

  • Light sheet microscope from M2Lasers: Valentina Loschiavo Valentina.Loschiavo(at)
    • Fast imaging of large sample
    • Overview function to navigate in the sample and find the region of interest
    • 800x800um field of view with 1um min resolution
    • Any immersion media
    • Sample size up to centimetres
  • Wide Field microscope from Nikon with 3 different Andor cameras: Oliver Garner (oliver.garner(at)
    • Nikon Ti2 microscope with 4 times larger field of view
    • A front illuminated sCMOS camera: Good sensitivity and resolution, great speed, but a greyish background (Andor Zyla 4.2)
    • A back-illuminated EM-CCD camera: highly sensitive camera with very dark background, but lower resolution and lower speed (Andor 897U)
    • A back-illuminated sCMOS camera: same sensitivity and low background as an EM-CCD but better resolution and speed (Andor Sona)

Great video Microcourses about microscopy

Jennifer Watson’s Microcourses channel on You Tube is really recommended to anyone who uses a microscope.

Short targetted videos that will boil down the principles of light microscopy for biologist and help you understand what you are doing.

There are a few series, each of them with a few videos and the collection is constantly growing. Remember to subscribe so you get to know when they post a new one.

New image analysis training school with Neubias

NEUBIAS, the Network of European BioImage Analysts, is delighted to announce two new Training Schools on BioImage Analysis:

TS14 for Early Career Investigators (Life Scientists: PhD candidates, Postdocs, Staff, …):

This training school will cover the basics of image analysis using ImageJ/Fiji, as well as image analysis workflow automation using ImageJ macro programming. In addition, it will be taught how to use the software package ilastik for machine learning based image segmentation and object classification, and how to integrate ilastik into ImageJ macro based workflows. Moreover, an overview of further relevant bioimage analysis software packages will be given and there will be ample time for “Work on Your Own Data” sessions assisted by experienced Analysts.

TS15 for BioImage Analysts (advanced level):

This school targets bioimage analysts, who are willing to enhance their professional scope and techniques for improving the quality of their analysis, at the same time as willing to contribute with their knowledge and experience to the school. Prerequisite is a proficiency in at least one programming language (we do not train coding). The school focuses on workflow designing. This year, we will have a particular emphasis on statistics for bioimage analysis and related tools e.g. R and Python libraries. In addition, we will overview machine & deep learning components.

The schools will be held in Bordeaux, Feb 29 – Mar 03 2019, hosted at the Centre Broca Nouvelle-Aquitaine by the Bordeaux Imaging Center (BIC) and the Interdisciplinary Institute for Neuroscience. The selected students will be able to attend the whole NEUBIAS conference as part of the training.

NEUBIAS schools are an excellent opportunity to learn from many experts in Bioimage Analysis (we are expecting >20 specialists at the event) and “…a great mix of intensive learning and community networking” (former trainee testimonial). All schools include practical sessions “Work on Your Own Data”, plenary seminars and a session on ethics in image analysis.

Applications are now open (TS14 = 25 seats, TS15 = 35 seats and ~10+ trainers per school). Within the COST framework (funders of NEUBIAS), we will offer up to 7 travel grants per school to applicants who qualify.

Application deadline: December 12th 2019 Selection notification: December 20th 2019

More information about schools (programme & trainers) and venue, travel & lodge available at our website:

We kindly ask that you help us reach out to all potential interested applicants.

on behalf of all NEUBIAS members, local organizers (Florian Levet and Fabrice Cordelières), scientific organizers (Romain Guiet, Elnaz Fazeli, Christian Tischer, Kota Miura, Marion Louveaux), and NEUBIAS Training Leaders Gabriel Martins and Fabrice Cordelières.

Apply now to the LCI microscopy course 2020 :)

It is now time to register to the LCI intensive microscopy course (Jan/Feb 2020). Check out the course schedule.

Loads of fun workshops, informative lectures, intense discussions and our popular Student Imaging Challenge workshop where students get direct feedback on how to improve their own sample preparation/experimental design.

We always run two courses in parallel:

  • the full course (#2870, 6 points, apply here) where students attend all activities
  • the theory only course (#2871, 4.5 points, apply here) for students who only attend the lectures

As usual, all lectures are public and broadcasted live so you are welcome to just show up (how to find us) or watch remotely (how to connect) without registration.  Check the program as it may be updated in case of (unlikely) last minute changes.

We welcome your feedback about the quality of the webinar and the content of the lectures.

Imaging Africa workshop

Great initiative from the other side of the pond. Please forward to your imaging friends/colleagues working in African universities:


We are pleased to announce Imaging Africa—a workshop initiative aimed at developing the microscopy knowledge and expertise of African life scientists.

Imaging Africa is an intensive, 4-day workshop + 1-day symposium focused on exposing students to a plethora of microscope technologies and impactful applications. Topics range from portable, cellphone-based microscopes to advanced super-resolution modalities. Furthermore, students will be introduced to experimental applications such as biosensors and optogenetic tools. These theoretical and practical classes will run in parallel with an in-depth quantitative image analysis course, which will provide the students with the skills necessary to reveal meaningful information from microscopy data.

With the generous support from the Gordon and Betty Moore Foundation, the Chan Zuckerberg Initiative, the Howard Hughes Medical Institute Janelia Research Campus and UNC-Chapel Hill, the Imaging Africa workshop is free of financial burden to all attending students. The expenses associated with air travel, accommodation, and food will be covered by Imaging Africa. Eligible applicants must currently be at an academic institution in the continent of Africa.

The workshop will be hosted at the University of Cape Town’s Institute of Infectious Disease and Molecular Medicine, South Africa from the 13th to the 16th of January 2020 and will be followed by a research symposium on the 17th of January 2020. Please visit for more information. Applications for the workshop close on the 15th of October 2019.

Please help us in making a meaningful impact on African researchers by forwarding this information to your friends and colleagues from any and all African institutions.


Teng-Leong Chew, HHMI Janelia Research Campus, USA Dan Fletcher, Univ of California-Berkeley, USA Klaus Hahn, Univ of N. Carolina-Chapel Hill, USA Musa Mhlanga, Univ of Cape Town, S. Africa Kelly Rogers, Walter & Eliza Hall Institute, Australia Digby Warner, Univ of Cape Town, S. Africa

Neubias school for image analysis 2020

Neubias is a European effort to get biologists to analyse their images by locking them in a room with some image analysis experts. If you get accepted to the Neubias school, you get to learn image analysis on your own data and you get expert help to build your pipeline!

The next Neubias school will be in the beautiful city of Bordeaux in February 2020. Apply soon not to be disappointed! 🙂

Super resolution microscopy course and seminars at Scilife

Hi there!

Hans Blom and the Advanced Light Microscopy facility at Scilife organise one of their great super resolution microscopy course and a bunch of great seminars in September.

More information about the course and the seminar program (26th of september) can be found here.

See you all there! 😀

Lots of Image analysis courses in Uppsala! :)

Biovis is the image facility at Uppsala University, just a stone-throw away from us. Every year, they run several Image analysis courses, from short introductions to full blown courses.

Have a look here!

Antibody-based technologies at SciLife

Apply to this course at SciLife and learn about Antibody-based technologies on the 25th of March.