The Madrid Institute of Materials Sciences (CSIC-ICMM) hosted the second training workshop for the SPM 4.0 network. Both Prakhar Dutta and Jiacheng Huang, the two doctoral candidates based at the University of Gothenburg, participated to the event along with the other doctoral candidates of the network.
The second training workshop started with presentations from the doctoral candidates on their progress so far. The training event also consisted of a series of lectures on different topics such as a deep dive into atomic force microscopy and the different modes for the same, basics of deep learning, and an overview of data management plans.
ICMM also hosted some practical sessions where hands-on lectures were given on the use of atomic force microscopy machines and their applications.
Tag: Jiacheng Huang
Poster by J. Huang at the Protein Folding in Real Time conference, Stockholm, 11 March 2026
Jiacheng Huang, Nazli Demirpehlivan, Prakhar Dutta, Rahul Nagshi, Thomas Catley, Sylvia Whittle, Carlo Manzo, Rachel Owen, Giovanni Volpe
Date: 11th March 2026
Time: 18:00 – 20:00
Place: Aula Medica, Karolinska Institute, Solna
Conference Protein Folding in Real Time, 11-13 March 2026, Stockholm, Sweden
Atomic Force Microscopy (AFM) force spectroscopy is widely used to probe the mechanical properties and interactions of biological samples at the nanoscale, including living cells. However, large datasets generated during AFM measurements often contain curves affected by experimental artifacts such as poor tip–sample contact, noise, or instrumental instability. These low-quality force curves can significantly affect downstream analysis and typically require time-consuming manual inspection. In this work, we propose a machine learning–based data quality control framework for AFM force spectroscopy using a self-supervised approach.
MSCA-DN SPM4.0 training event in Berlin, 17-21 November 2025
Charite University and Bruker Nano GmbH hosted the first training workshop for the SPM 4.0 network. Both Prakhar Dutta and Jiacheng Huang, the two doctoral candidates based at the University of Gothenburg, participated to the event along with the other doctoral candidates of the network.
The training event consisted of a series of lectures on different topics such as basics of scanning probe microscopy, medical radiation based elastography, and the basics of machine learning.
Two of the days of the training event were held at Bruker Nano GmbH in Berlin, where hands-on lectures and practicals were given on the use of atomic force microscopy machines and their applications.
Jiacheng Huang joins the Soft Matter Lab
Jiacheng has a Master degree in Material and Chemical Engineering from the Department of Chemical and Biochemical Engineering, Xiamen University, China.
In his PhD, which is part of the MSCA-DN SPM4.0, he will focus on machine learning and smart microscopy.