This two-part series offers an immersive experience at the newly renovated London Metallomics Facility (LMF) located at King’s College London.

Our focus will be on metallomic imaging, specifically utilising LA-ICP-MS and exploring how additional techniques can complement this approach to provide an integrated data set for answering complex questions related to the roles of metals in biological processes.

Workshop 1:
Experimental planning, sample preparation, and execution

In the study of metallomic profiles in biological tissues, the importance of planning cannot be overstated. The steps we take during preparation can greatly impact the resulting data, potentially leading to misinterpretation. In this session we will focus on key points to consider before starting any metallomic imaging experiment, such as the scientific rationale and promoting hypothesis driven research, ensuring experimental feasibility, and of course sample preparation. We will thoroughly examine the preparation methods commonly employed in metallomic bioimaging, subjecting them to critical appraisal. By doing so, we aim to enhance our understanding of the potential pitfalls and challenges associated with these methods.

Furthermore, we will share valuable tips and tricks related to running experiments. This will encompass everything from calibration methods to the selection of appropriate sample substrates, with the goal to equip you with practical insights that can significantly improve the accuracy and reliability of your metallomic imaging projects.

Workshop 2:
Data analysis, multi-modal integration, and interpretation

After the experiment is finished and the data is reconstructed into stacked isotopic images, what is next? This workshop is all about getting the most out of your metallomic data sets introducing simple approaches, which can help visualisation and interpretation such as regression, frequency distributions, and dimensionality reduction methods. In this session, we aim to help participants transition from relying solely on descriptive-based approaches to effectively reporting images.

We will delve into the implementation of complementary data sets and the associated challenges, including crucial considerations like image registration and error estimation. Furthermore, we will focus on honing data analysis skills and testing our ability to interpret data, which is often the most daunting aspect. To aid this process, the workshop will provide key insights and points to facilitate a better understanding and interpretation of the data.

ISM9 offers early bird, standard, and on-site registration fees for regular participants and students both in person and virtual.

Interested in early bird alerts?