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.
Imagine starting a study about some cool protein.
You find some useful articles on Google Scholar. In one paper, an antibody is mentioned. The name of the company that sold it to the authors is mentioned in the Material and Method but unfortunately that company has closed down or has been swallowed by one of the Pharma giants so you cannot order. Then you realize that the company was not producing any antibodies anyway, they were buying it from another company so there is no way to trace and buy the same antibody. Nightmare…
Then imagine that instead, the paper mentions the RRid number for that antibody. You do not know about what that is but you check and find this paper that explains it all.
Now suddenly, not only you can find on the Scicrunch website which company produces this antibody and which resells it so you can buy it, but you can also search pubmed for the RRid and find all the articles that mention it, opening your eyes to lots of results about your protein that have been published specifically with using that antibody. Now you can also check if the antibody gives consistent results!
And imagine being to do this for your favorite mouse model as well. See all publications that have mentioned your mouse RRId!
But it relies on you writing the RRid of your antibody or mouse in your next publication so think about it! 😀
Zell Kontakt is a German company making fantastic glass bottom dishes and plate. Check out why the LCI facility likes their products (absolutely no commercial interests!).
Great products but crap communication skills! Either their website is down or they do not answer the phone and emails and anyway if they do, make sure you have a German colleague around because no one speaks English.
Now we have found a way around the problem: MoBiTec sells Zell Kontakt products. 🙂
If you are at KI and need to find a KI-certified supplier, just come and ask us. 🙂
Here are a few image analysis tools (constructs for FRET, software…) that might be useful to you.
- Construct for fluorescence biosensors and optogenetic tools
- Free Image analysis software
- Free Image analysis software
- Free Image analysis software
On the 10th of October, the Live Cell Imaging facility will have an open house and a little party to celebrate loads of great stuff:
- The LCI turned 10 years old this year! 😊
- We got a wonderful light sheet system earlier this year. It is high time to give it a name and splash it with a bit of champagne!
- Gisele Miranda from Scilife/BII has joined the LCI team to help our users with image analysis
- We got a great server/analysis capacity set up by the KI IT department
Wow! What a year! 😃
Please come and celebrate with us! If you do not know what our microscopy facility has to offer, it is time to be curious and pay us a visit.
- Open house: drop in between 9:00-11:00
- Baptising of the light sheet system and celebration of Gisele and our shiny new server: at 11:00
All this will happen on the 10th of October (next Thursday) at the LCI facility, on the 7th floor of Neo at KI Flemingsberg. Here you can see how to find us.
Please help us spread the news! 😊
NucleAlzer is a great new deep learning tool to identify roundish objects like nuclei and cells in fluorescent or bright field images.
To test if the tool works for you before you download it, you can simply upload one of your images and check the result. Easy! 😀
BII (BioImage Informatics, the great image analysis at SciLife Uppsala) and the LCI facility will run a new Call4Help on the 4th of September.
Anyone who is stuck with image analysis and wishes for quick help to build a pipeline should apply. You don’t have to acquire the images at the LCI. Anyone can apply.
How does it work? You first upload your images and a little explanation text. A few days later, we all meet virtually in a Zoom chatroom for a quick (30 min-1 h) online session. You get comments, suggestions and help with building a Fiji or CellProfiler analysis pipeline tailor-made for your images.
If you are interested, click on the link below to apply:
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! 🙂
Tomorrow 30th of May is the last day to apply to the Neubias (Network of Bioimage Analysts) image analysis school in Porto in October!
If you have any scary image analysis problem sitting under your bed at night, Neubias is for you 😉
Neubias is a great opportunity to get started/go deeper with image analysis and get your analysis pipeline written by experts.
Imaris is a great image analysis software that is available to all the members of the Live Cell Imaging facility.
It is as easy to analyse 2D and 3D image files with Imaris. The software also allows you to make great multidimensional plots to present your data.
One can count objects inside objects (example number of vesicles per cell), measure shortest distances from one type of object to another (example distance from vesicles to the cell membrane), track cells even when they divide, trace neurons or blood vessels… all this in 3D, time, several colours.
On the 22nd of May, the LCI will host an Imaris workshop.
The morning seminar (held in Neo/DNA room) from 10-12 will be broadcasted for those who cannot join. Please follow the instructions on our website to follow the webinar.
In the afternoon, we will analyse the data of our users. Submit your images to DONTCHEVA Guergana (g.dontcheva(at)bitplane.com).