3D'omics
Training Activities


"Spatial microbiomics - from sampling to analysis"




Spatial Microbiomics training

The course took place from 12–16 May 2025 and focused on creating a Microbiomics Atlas, covering every step from sampling to analysis.

The workshop was aimed at PhD candidates and postdocs working on data generation, processing and analysis in microbiomics, while also welcoming other interested participants. Its learning outcomes covered the differences, challenges and benefits of micro-scale and conventional microbiomic methods, and participants gained hands-on experience and fundamental expertise in the workflow.

Discussion topics considered how the workflow could be translated to laboratories with more limited funding, what was needed to scale it up, and the bottlenecks involved.

After successful completion, participants received a certificate of attendance from Assoc. Prof. Antton Alberdi (University of Copenhagen), stating the course content, working hours and suggested ECTS (approximately 2.5), which could be used for recognition at their home institution.

Techniques & Learning Outcomes

Agenda for May 12-16

On the first day, participants discussed the plans for the week, shared their backgrounds and expectations, and listened to introductory presentations. 

The data-generation part of the workshop consisted of workstations illustrating sample embedding and cryo-sectioning using Leica CM3050S, laser microdissection using Leica LDM7, sample digestion and ultrasonication using Covaris LE220, library preparation using a Tecan Fluent 780 liquid handler, and pre-sequencing quality checks using qPCR and fragment analysis. Participants visited each workstation in small groups and gained hands-on experience with these methods.

After a short recap of the previous day, lectures covered the bioinformatic processing of generated data. Topics included reference genome catalogue generation using long-read sequencing, quantitative estimates of microbial community compositions from microsamples, and quality-filtering strategies for high-quality data. Participants processed data and began preparing their presentations.

The morning was dedicated to data analysis, focusing on the unique spatial information obtained from microsamples. In the afternoon, lectures covered complementary methods including fluorescence in-situ hybridisation and spatial metabolomics, which can validate and enrich micro-scale spatial metagenomic data.

The final day concluded with a course summary, participant presentations, and a short assessment and evaluation.