Registration to the LCI microscopy course 2023 closes on Monday!

It is time to enroll to the yearly light microscopy course run by the Live Cell imaging core facility (30 Jan – 17 Feb 2023): Microscopy: improve your imaging skills – from sample preparation to image analysis’ (6 credits).

  • Check the course schedule to see the course content and testimonies from alumni
  • If interested, you can enrol as a studentPlease read carefully the eligibility criteria and note that the last registration date is the 15th of November.

Additionally, all the lectures (in blue on the schedule) will be publicly broadcasted live on Zoom and accessible to anyone without registration. Even if you do not want to enrol as a student, you can have a look at the and listen to any lecture that triggers your interest. There is no need to register. The schedule and zoom link are on the course page.

The purpose of this course is to enable PhD students and researchers who have already and recently used a microscope to acquire images of fluorescent samples, to improve their microscopy skills.
The course is NOT aimed at training people to use the LCI facility microscopes. The focus is instead on providing the students with enough theoretical and practical knowledge about their OWN sample and their OWN microscope, to enable them to:

1) prepare their sample and formulate their scientific question in a way that is suitable for data extraction from fluorescence images

2) properly use the hardware available in their lab/facility and 3) fully understand each parameter they need to set in the software in their lab/facility.

The aim is to provide the course students with the tools to acquire on ANY wide field, confocal or light sheet microscope, images of their samples that reliably answer their scientific question.

Please help us spread the word. 😃

Light-seq: Multiplexed, non-destructive spatial transcriptomics of tissues sections using light

Light-Seq is a new pretty cool technique for highly multiplexed sequencing of RNA in tissue sections using light. This technique is highly sensitive, highly spatially resolved and because it does not destroy the tissue, it can be combined with protein labelling (genetic or by immunolabelling).

On one of our single-point confocal/spinning disk/widefield system at the LCI facility, we have a device called Primo (DMD + UV laser) which can be used to run this technique! 🙂

Let us know if you would like to set up LightSeq at the LCI core facility!

Live demo of the Nikon Mizar TILT light sheet

On the 22nd of September at 10, you get a chance to see and try the latest light sheet on the market: the Nikon Mizar TILT.

    • Easy to use stage top light sheet with only 1 objective
    • Imaging of cell monolayer, cells in gels, organoids in gels, small organisms…
    • Samples in glass bottom multiwell chamber slides
    • Stage top incubator for live sample imaging
    • Advantage of using the TILT light sheet
      • low phototoxicity and bleaching even with high resolution objective
      • excellent temporal and spatial resolution for live samples
    • See here for more info.

This demo is only for a limited time (10 days) and in person only. Please let us know if you want to join the demo and if you want to try your own sample.

Live demo of the Crest spinning disk with DeepSIM

9th of September, 10-12am: Live/zoom demo of the latest microscope acquired by the LCI facility: Crest spinning disk with DeepSIM (new Orion)

  • Ti2 microscope
  • Crest spinning disk (identical to the one on Tweety but with slightly different wavelengths)
  • DeepSIM: SIM is a fast super-resolution technique which is gentle for the sample (less bleaching, less photodamage for live samples) and offers double the resolution of a confocal microscope (down to 120nm resolution), even thick in samples. It is flexible and can be used with any objectives, even low magnification air objectives.
  • No specific sample preparation requirements
  • More information here

For the best experience, join the demo in person at the LCI facility (please apply by replying to this email) but if you cannot make it, you can also listen on Zoom.

The system has been purchased by the LCI so it is here to stay! 🙂

Please let us know if you want to join the demo in person and mention if you would like to try imaging your own sample with DeepSIM.

mCherry-XL: brigther, more stable and with better spectra!

mCherry is a very popular red fluorescent protein. However it has several disadvantages:

  • It is shifted towards far red (ex peak 585 nm) so it often is not imaged optimally with the illumination sources and filters commonly available.
  • It bleaches fast

mCherry has now been evolved into mCherry-XL with several improvements:

  • This variant is shifted back towards green (ex peak 560 nm) therefore being very well excited with popular 561nm lasers.
  • It is 3 times brighter than mCherry
  • There is also a clear improvement in the lifetime for FLIM
  • Together the 2 points above means that less excitation power is required so it should help with the bleaching problem

Here is the paper. Therefore you should consider mCherry-XL for your future tagging with red fluorescence proteins.

Nikon Europe recruits an image analyst

Nikon Europe recruits an image analyst in Leiden.

See here if this is the dream job for you. 🙂

BII webinar about a great tool! TissUUmaps

The BioImage Informatics facility at Scilife organizes a new presentation on free and open-source tools: TissUUmaps, a browser-based tool for GPU-accelerated visualization and interactive exploration of millions of datapoints overlaying tissue samples.

Users can visualize markers and regions, explore spatial statistics and quantitative analyses of tissue morphology, and assess the quality of decoding in situ transcriptomics data. TissUUmaps provides instant multi-resolution image viewing, can be customized, shared, and also integrated in Jupyter Notebooks. TissUUmaps was created in collaboration between BIIF and the Wählby lab. You can read more about it and test the software on its web page: https://tissuumaps.github.io/
During the seminar, we will go through basic usage of TissUUmaps: installation, loading images, markers and regions, change visualization settings, and how to load / save / share projects. The webinar will be given by Christophe Avenel and will take place on March 3rd, 09:00-10:00 (instead of our normal Call4Help session). There will be time for questions and discussion, so we hope this event to be very interactive. Please register here.

Super resolution STED event at Scilife in March

Nordic superresolution microscopy facility staff/researchers: STED

March 15th and 16th at 9-12 am. CONTACT: Hans Blom (hblom@kth.se)

Mar 15, 2022 9:00am

  • 9:00-9:45am – BNMI info / STED intro [Hans Blom & Daniel Smeets (Leica)]
  • 9:45-10:15am – STED sample prepping [Ulf Schwarz et al. (Leica)]
  • Break
  • 10:30-11:00am – Input from a Nordic STED facility [Jonathan R. Brewer (DaMBIC)]
  • 11:00-11:45am – STED demos [Luis Alvarez/Ulf Schwarz et al. (Leica)]
  • 11:45-12:00amExtra discussion time

https://kth-se.zoom.us/j/69376340781

Mar 16, 2022 9:00am

  • 9:00-9:45am – Live-cell STED [Giovanna Coceano (KTH Stockholm)]
  • 9:45-10:15am – Remote STED [Marko Lampe (ALMF/EMBL)]
  • Break
  • 10:30-11:00am – STED-FCS [Erdinc Sezgin (KI Stockholm)]
  • 11:00-11:45am – Advanced STED demos [Luis Alvarez/Ulf Schwarz et al. (Leica)]
  • 11:45-12:00amExtra discussion time

https://kth-se.zoom.us/j/67902191893

Listen to the lectures at the LCI facility microscopy course!

Starting from next week, the Live Cell Imaging core facility at KI will run its yearly microscopy course.

All the course lectures and some workshops will broadcasted live on Zoom, free of charge and there is no need to register.

Name: Microscopy: improve your imaging skills – from sample preparation to image analysis

Date: 24 Jan – 11 Feb 2022

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 but feel that more knowledge could help them.

The course covers the following topics:

  • Optics, image formation
  • Fluorescence, fluorophores
  • Bleedthrough
  • Anatomy of a microscope
  • Objectives and refraction index
  • Cameras and detectors
  • Noise and background, Bit depth and saturation
  • Multichannel imaging and spectral unmixing
  • Resolution and contrast
  • Sample preparation, Immunostaining
  • Nyquist sampling
  • Confocal and wide field settings
  • Speed, High throughput/content
  • Volume imaging, deconvolution
  • Clearing and expansion
  • Live cell imaging
  • Fourier
  • AI, Super Resolution microscopy
  • Colocalization
  • Data handling, OMERO.figure

On this page, you can find the course schedule (public activities are in blue) and the  Zoom link to join. Scroll down to read the student testimonies! 😊

Hope you enjoy the Live Cell Imaging core facility microscopy course 2022! 😃

The Live Cell Imaging facility is Nikon Center of Excellence – Symposium and open house – tomorrow 10/11

Tomorrow, we will celebrate us being Nikon Center of Excellence with great microscopy talks, a live demo of the latest Nikon Ax confocal and guided tours of the LCI facility!

Join us IRL if you have registered or follow the talks on Zoom with this link (scientific program below).

You can also join us physically from 13:50 onwards for the Ax demo or the guided tour. Remember to book a time slot on the paper in front of the Erna Möller seminar hall in Neo.

9:00 – 9:05 Welcome (Staffan Strömblad)
9:05 – 9:15 Sylvie Le Guyader
Presentation of the Live Cell Imaging Core Facility
9:15 – 9:45 Christophe Leterrier, CNRS-Aix Marseille University, France
Looking at neurons at the nanoscale with super-resolution microscopy
9:45 – 09:50 Dusan Popov, European Product Manager Super Resolution, Nikon Europe B.V.
Future of superresolution imaging
9:50 – 10:05 Jianjiang Hu, Karolinska Institutet
Local temporal Rac1-GTP nadirs and peaks restrict cell protrusions and retractions
10:50 – 11:20 Joakim Lundeberg, The Royal Technology Institute, Stockholm, Sweden
Exploration of the transcriptome and genome in a tissue context
11:20 – 11:50 Guillaume Jacquemet, Åbo Akademi, Finland
Democratizing deep learning microscopy image analysis (ZeroCostDL4Mic)
11:50 – 11:55 Simone Lepper, European Product Manager Imaging Software & High- Content Screening, Nikon Europe B.V.
Future of Image Analysis
13:00 – 13:50 Featured presentation: Jennifer Lippincott-Schwartz, Senior Group Leader, Howard Hughes Medical Institute, Janelia Research Campus, USA
Emerging Imaging Technologies to Study Cell Architecture, Dynamics, and Function
13:50 –16:00 Open house at the Live Cell Imaging Core Facility / Tours / Demos

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