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.
Nov 30th-Dec 2nd, Janelia Research Center organizes a great image analysis workshop with loads of goodies. Everything is online and free. There are in depth and more general workshops about Deep Learning with different freeware, programming and scripting of all sorts, Big data things… Check the program here.
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. 😊
Our dear Tweety microscope, which was simplest and cutest of all the LCI systems, has muted into our most sophisticated power machine!
On the 24th at 10, we will run an online demo (link below) to show what our upgraded Tweety can deliver:
- Much larger field of view (from 18 mm diagonal to 25 mm)
- Upgraded single point confocal on the left side
- Resonant scanner with 1024×1024 pixels (compared to 512×512 on our other resonant scanners), still the same speed (30 fps) and improved low noise
- Spinning disk confocal on the right side with bypass to image wide field
- 2 very sensitive cameras on the right side: one with the very large field of view and 11um pixels for best sensitivity and one with the normal field of view and 6.45 pixels for best resolution
- Our great Primo is still on the back of the microscope to allow micropatterning of proteins at the bottom of a dish or micromanufacturing of wells in the shape/pattern of your choice
- 2 wonderful silicon immersion objectives specialized for tissue imaging with automatic correction ring: 20x/1.05 and 40x/1.25
After the demo, the LCI users who have already been trained on our widefield systems can get access to Tweety for free after a mandatory short training.
Please add the demo in your calendar and make sure to test the link ahead of the meeting.
Link to the Zoom Meeting on the 24th at 10am: https://ki-se.zoom.us/j/7302561100
CLIJ2 allows you to use ImageJ/Fiji on GPU instead if CPU processing, so much faster! 🙂
Here is a nice article about what CLIJ2 can do. By the way, this article is published on a new imaging forum called FocalPlane. Check it out! And here is the presentation of how to use CLIJ2 at one of the recent Neubias event in May 2020.
If you have an analysis pipeline built in Fiji, Icy or Matlab and processing takes a long time, CLIJ2 will help you a lot.
Check out this webinar tomorrow by Rickardo Henriques, the inventor of SRRF (surf), post processing magic for all types of images!
*Title:* Open and accessible cutting-edge technology for super-resolution and machine-learning enabled microscopy
*When: *June 5th 4:00 pm CEST
*How to access/register*
And here’s a small teaser if you want to quickly see the topics we’ll cover.
Hans Blom from the Advanced Light Microscopy facility at Scilife organises next week (10th and 1tth of June) 3 sessions of great seminars:
I especially recommend the CUBIC seminar to anyone who wants to image samples thicker than 100 um. This will teach you how to treat your sample to make it fully transparent so you can image through many cm of tissue!
Do you know that clearing is not just about light sheet microscopy? Even if you have done your job well and your sample is directly on the coverslip (not on the slide), as soon as your sample is thicker than 10 um (1 cell diameter), you will see the effect of the refraction index mismatch.
What is that? Your sample and the mounting medium around it have a certain refraction index (or likely several). The objective you are using is designed for a certain refraction index (e.g. air, water or oil). If these refraction indices do not match what happens? as soon as you image a tiny bit away from the coverslip, the sample will look elongated, the intensity and contrast will drop very fast.
Sounds familiar? If yes, changing your mounting medium to match the objective will solve the problem. It works for light sheet but it also works for wide field or confocal imaging! Just change your mounting medium and you will see an enormous difference!
Here is an article describing a one-step clearing protocol. This basically is about using a different mounting medium. Easy, cheap and non-toxic! Give it a try!
Have a look at this post for more info.
Ever wondered if that antibody you used throughout your whole PhD was actually also binding to something else than its supposed target protein?
Antibody validation in tissue staining is a very difficult task!
Here is a great step-by-step validation protocol published by EuroMabNet, a network of scientists who try to improve antibody validation.
And this paper gives a useful flow chart for antibody validation.
And here is the 5 pillars of antibody validation paper which explains what can be done to validate antibodies.