• Time: 27th September-1st October 2021

    Place: Online Event

    Participation fee: 250 CHF (academia) / 500 CHF (industry)

     

    ZIDAS 2021 will be virtual this year (hopefully next year we see each other in Lausanne). Due to worldwide travel restrictions, it would be hardly possible for participants and instructors to come to Switzerland.


    In order to make the best out of the current situation, we have decided to turn 2021 edition course into an online teaching event. The program will be adapted to make it compatible with online teaching!

     

    Best regards from the

    Organizing team


  • Anyone can apply - irrespective of affiliation, position, or location!
     

    Application deadline: 2021-07-01 (23:59 CET)

    Application answer: 2021-07-15

     

     

  • About the School

    This one-week school provides a hands-on introduction to image processing and analysis, with an emphasis on biologically relevant examples.

    Is this school for you?

    • Are you a life-science researcher with a pressing need to quantify your light-microscopy images?
    • Are you 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?
    • If you answered yes to some of the above, then this school is for you!

    Motivation

    Digital images of high quality and quantity are now the norm in biomedical sciences. Ten to twenty years ago, when many current professors trained as students or post-docs, this was not yet the case as most microscopes were, at best, equipped with low-resolution digital cameras, celluloid-film (analogue) cameras, or no camera at all.

     

    This rapid change is rarely reflected in the curricula of life-science university departments and they offer few, if any, courses in image processing and analysis. Understandably, courses in image-analysis (computer-vision) in the computer-science departments tend to have different aims, work on different image-data, and pre-suppose literacy in at least one programming language, rendering them all but irrelevant for the life-scientist working in the laboratory.

     

    To bridge this gap, between what the life-scientist needs and what courses he/she is normally offered, we have created this school for image analysis. No former experience with programming is assumed, nor will much indeed be needed; only a strong desire to learn what can be done and how to do it is required.

    What you will learn

    You will learn the fundamentals of image analysis, including basic macro programming in ImageJ/Fiji as well as other software solutions.

     

    MOOC

    Before the start of the course, you’re expected to validate the IPA4LS on-line course . You’ll have some videos, exercises and quizzes to gauge your IDA knowledge. We ask you to follow the “extra week” dealing with the ImageJ Macro language.

     

    POSSIBLE TOPICS


    Some possible topics, based on popularity last years:

    • Deep Learning for image restoration and segmentation.
    • Co-localisation, i.e., spatial correlation analysis and statistics.
    • Data Analysis using KNIME.
    • De-convolution of microscopy images.
    • Tracking of particles and cells in time-lapse recordings.
    • Stitching and registration of stacks of large image data.
    • Hands-on training with image-analysis software solutions such as ilastikCellProfiler and QuPath.

    Structure of the week

    You will be working actively with image-analysis software every day -- this is an interactive hands-on school, not a passive lecture series. Short introductions are followed by guided workflows that we step through together. You can (and should) ask questions at any time throughout.

     

    There will be a single invited lecture every day, alternating between scientists using image-analysis as an integral part of their biomedical research and researchers developing new image-analysis algorithms and software.

     

    You will have the chance to work on your own data, that you brought from home, throughout the week, with support from the trainers.

     

    In the second part of the week you will be working on image-analysis projects, in groups, with support from the trainers. On the last day you will present the results of your project-work.

    Factoids

    1. We will accept 25 participants --- this number is kept low to facilitate effective tutoring.
    2. The school takes place in online (changed due to COVID-19).
    3. You will need to bring your meet requirements (laptop, bandwidth, mic, etc.).
    4. Participation is only possible for the entire week.
    5. A small number of fee-waivers are available.
    6. PhD students can earn two ECTS credits from the school (we provide documents, upon approval of your local doctoral school). 
  • Program

    Expect some changes - the program will be updated here

  • Online Course Practical Information

    Schedules

     

     

    Based on the location of most teachers and students, know that your schedule will revolve around European time zones (9h-18h CET)

    We are aware that this might be inconvienient for participants

    IT Requirements

    Participants should have access to good IT infrastructure, namely

    • a computer for working out image analysis problems
    • a good internet connection to follow the webinars and download datasets
    • a quality headset with microphone to communicate effectively.
    • A webcam

    It is recommended to have access to two screens (one for viewing live teaching material, courses and one for following along with the exercises).

     

    We will organize a preschool session to ensure that each one of you meets these requirements! We want to ensure a smooth experience for every participant and trainer.

     

    Your Own Space

    It is important that you secure a room, or secluded corner, where you can work uninterrupted for 8-10 h/day for the duration of the school.

    This is important not only for you, but also for the other participants who will often be able to see and hear you and your surroundings.

    Getting Together Online!

    Upon being selected for ZIDAS, you will gain access to a Slack channel where you will be able to discuss with the other participants!

     

    We will plan online social events during the week to discuss more informally and spend time together.

  • Get pdf version

    Poster

    Please help us promote the event!

  • Connect With Us

    Something unclear? Let us know!

  • Support and Endorsements

    This school was created by ScopeM-IDA staff, co-organized with BIOP staff, powered by NEUBIAS trainers, and supported by EXCITE.

  • Sponsors

    A great thank you to our wonderful sponsors for supporting open bioimage data analysis.

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