Your browser does not support or is disabling JavaScript.


EMBO Practical Course

Deep learning for microscopy image analysis

08 – 16 May 2024 | Milan, Italy

  • Registration Deadline
  • 4 February 2024
  • Chosen Participants Will Be Notified By
  • 23 February 2024
  • Payment Deadline
  • 17 March 2024

Apply now!

Tweet #EMBOdl4mia

Download calendar invitation



About the Practical Course

Practical Course illustration

The ability to analyze large amounts of microscopy data is essential to modern life-science research. Indeed, the future state of bioimage analysis is progressively defined by the development and application of tools that relies on deep learning (DL) and artificial intelligence. Enabling users to understand how these tools and models can be used on their datasets is part of the challenge that the bioimage analysis community is currently facing.

The goal of this course is to familiarize researchers working in the life sciences with state-of-the-art DL techniques for microscopy image analysis, including (but not exclusive to) image restoration, segmentation, translation, registration, and tracking. The course will be composed of pre-course “fundamentals”, on-site lectures, tutorials, hands-on projects, and networking activities.

During the first five days participants will have the opportunity to learn about the technical aspects of deep learning and its applications. Lectures and exercises will be given by leading figures in the field of bioimage analysis, together with the support of the most promising newcomers who will join as full-time tutors.

During the last four days, participants will be divided in teams supported by all instructors, with the scope of solving real analysis problems on their own microscopy data. This will ensure that participants can later use their newly acquired skills for tackling similar problems at their home institutions.

In summary, participants will leave the course with a practical understanding of the power and limitations of DL, along with insights into the enabling underlying theory. The goal is to empower participants with the knowledge they need to develop their own DL-powered approaches in the context of their own research projects.

Call for Sponsorships

If you are an organisation, research infrastructure/community or a company and you wish to contribute to the EMBO-DL4MIA Practical Course by sponsoring the event and foster training of talented scientists on bioimage analysis, please submit your proposal by applying to the Call for Sponsorships:

Deep Learning for Microscopy Image Analysis (EMBO-DL4MIA) - Human Technopole

Do not hesitate to get in touch with if you have any questions.

About EMBO Courses and Workshops

EMBO Courses and Workshops are selected for their excellent scientific quality and timelines, provision of good networking activities for all participants and speaker gender diversity (at least 40% of speakers must be from the underrepresented gender).

Organisers are encouraged to implement measures to make the meeting environmentally more sustainable.







  • Registration Deadline
  • 4 February 2024
  • Chosen Participants Will Be Notified By
  • 23 February 2024
  • Payment Deadline
  • 17 March 2024



Registration includes:

  • Participation in all lectures, practical sessions, tutorials, and seminars
  • Personal working station
  • Accommodation for the duration of the practical course (Participants and speakers/instructors will be housed together, with the added benefit of increased interaction)
  • All meals provided during the course, including dinners and social activities
  • Onsite transport
  • Networking Excursion on Day 5


Participants are expected to pay the corresponding registration fee via direct bank transfer to Human Technopole.

Selected participants will receive detailed information by email.

Selection criteria

We welcome researchers working in life sciences, ideally without any background on state-of-the-art deep learning techniques. Applicants are expected to have intermediate programming skills, including some familiarity with the Python language. No prior experience with machine learning or deep learning techniques is necessary. Applicants are strongly encouraged to bring their own life-science microscopy datasets to work on during the project phase, and the potential interest and feasibility of potential projects will be evaluated as part of the application. Anonymized applications will be evaluated independently by a panel of reviewers based on the following criteria:

  • Suitability (programming ability, Python knowledge)
  • Field of work (Scientific background)
  • Motivation (How will the candidate’s research benefit from this course)

In case of ties, a selection will be made based on (i) quality of the application, (ii) potential of the presented project (e.g. available data and data labels), and (iii) gender balance and inclusion of participants from under-represented minority groups.

Travel grants and registration fee waivers

Travel grants and registration fee waivers are available for participants.

Selection of awardees is handled directly by the organizers. EMBO travel grants and registration fee waivers are allocated on the basis of the quality of the submitted abstract.

Applicants do not need to apply separately for these but should indicate on the registration form if they wish to be considered.

Additional travel grants are available for EMBC Associate Member States Chile, India, Singapore and Taiwan.

Special travel grants and registration fee waivers

A limited number of travel grants and registration fee waivers are availablefor scientists working in Croatia, Czech Republic, Estonia, Greece, Hungary, Italy, Lithuania, Luxembourg, Poland, Slovenia and Turkey. Grants are allocated on the basis of the quality of the submitted abstract.

A maximum of 700 Euros per participant are available to cover registration fees, travel, and accommodation (no additional subsistence costs can be covered). To apply, please indicate the itemized amount requested in the travel grants section of the registration form.

Child care grants

EMBO Courses and Workshops offers grants to offset additional childcare costs incurred by participants or speakers when participating at any EMBO Courses and Workshop funded meeting. Eligible costs include fees for a caregiver or child-care facility, travel costs for a caregiver, or travel costs for taking the child to the meeting etc. Please indicate on the registration form whether you would like to be considered for the grant. Please also describe how you intend to use the childcare grant and specify the sum that you will need.


HT is at the heart of MIND (Milan Innovation District), a scientific hub currently under development located on EXPO site Milano 2015. HT embraces MIND􀈇s ambition of an urban development that is functional to a long-term CO2 emission reduction. Measures include low-carbon construction materials, renewable energy and efficiency, and electric mobility. MIND aims at evolving as a 100% carbon-free district, in line with LEED Cities and Communities Gold certification standards. The site will host 300,000 m2 of green spaces and water surfaces to counteract overheating and reduce flooding. HT participates in the national campaign "M'illumino di meno" to promote energy saving and each tender published by our institute incorporates environmental criteria as mandatory field to place offers.

Specific measures during the course include:

1) Digital presentations by participants (no posters);

2) Low-impact meals: vegetarian-based food, compostable cutlery;

3) QR codes and electronic material;

4) Plastic-free badges;

5) Digital advertisement;

6) Request to speakers/participants to donate CO2 offset;

7) Encourage local public transport/walking. Lunches will be also organized at the InGalera restaurant, 5-min walking distance from HT and the only Italian restaurant situated in a state prison that offers the opportunity of regaining a work ethic to employed prisoners.

Code of conduct

Anti-harassment and non-discrimination policy

At EMBO, we believe that harassment and discriminatory behaviour are unacceptable in any setting. EMBO's code of conduct is applicable for all participants of this EMBO meeting and can be found here.



HT Scientific Training Office




Fondazione Human Technopole
Palazzo Italia
Viale Rita Levi-Montalcini, 1
20157 Milan, Italy
Phone: +39 02 30247001


Participants and speakers will be housed together in a residence/hotel well connected to Human Technopole and the Milan city center by public transportation. Accommodation costs are included in the registration fee. Shared rooms will be arranged for you and single rooms may be available upon request and with a financial contribution by the applicant.



Milano Centrale train station is the central node for the national transport infrastructure and it directly connects Italy to other European cities. You might consider reaching Milan by train if you leave from Paris, Zurich, or Frankfurt as there are direct connections available for these solutions.


Milano Linate is the closest to the city and has different types of connections with the centre of Milan. From Linate airport, you can take bus number 73 (direction Duomo M1/M3) with an ordinary urban ticket Mi1-Mi3 (see GiroMilano ATM, Azienda Trasporti Milanesi) and reach the city center (Duomo) in roughly 50 minutes (please note that the bus is not convenient if you arrive/depart late in the evening or early in the morning). As an alternative, some buses can take you either to the city center or to the Milan central station.

Milano Malpensa is a little further away from Milan city centre, but it offers a larger number of international connections while being still well connected to Milan's central station with buses and a dedicated train (Malpensa Express).

Bergamo Orio al Serio also has buses services that connect the airport to Milan central station, but it’s the farthest from the city.

How to reach HT

HT is well connected with the city of Milan with by:

  1. Regional trains (S5,S6,S11) available every 15-20 minutes
  2. Metro line (red)

Regional train/metro stop is Rho-Fiera Milano: from here, electric shuttles and scooters bring you to Human Technopole in 5 minutes.

About the Area

Milan, the capital of Lombardy, has a population of 1.3 million people. It is the biggest industrial city of Italy with many different industrial sectors. It is a magnetic point for designers, artists, photographers and models. Milan has an ancient city centre with high and interesting buildings and palazzos, which is why so many people from all over the world want to see the city of glamour.

Milan is internationally recognized as one of the world’s most important fashion capitals, but it also has a wealth of interesting museums and things to see and do. Some of the city’s most beautiful attractions include the Duomo di Milano, an impressive Opera House, a striking castle (Castello Sforzesco), ancient churches, and a great variety of museums and art galleries.

Molecular Systems Biology 2023-10/01_ht-logo_rgb_colore.png 2023-10/ai4life-logo_giraffe-nodes.png