Poster by J. Tember at the Protein Folding in Real Time conference, Stockholm, 11 March 2026

Comparison of anisotropic light-sheet microscopy data and super-resolved reconstruction, illustrating improved continuity and structural clarity of volumetric features. (Image by J. Tember.)
FIREFLY – Framework for Interactive Rendering, Exploration and Feature Extraction for Light-Sheet Microscopy
John Tember, Harshith Bachimanchi, Tsz Long Chu, Xin Tian, Andrei Chagin, 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

We present FIREFLY (Framework for Interactive Rendering, Exploration and Feature Extraction for Light-Sheet Microscopy), a platform for scalable computational tools. Modern 3D microscopy datasets are increasingly large and complex, posing challenges for efficient visualization, processing, and quantitative analysis. Our work focuses on developing tools and methods to support interactive and high-quality analysis workflows.

We are building a Unity-based application for real-time, multi-channel 3D rendering, enabling interactive inspection and quantitative analysis of large volumetric datasets. In parallel, we explore self-supervised machine learning approaches for enhancing anisotropic microscopy volumes and improving resolution without requiring additional training data.

Together, these efforts aim to provide an integrated and scalable pipeline for visualization and analysis in light-sheet microscopy.

John Tember joins the Soft Matter Lab

(Photo by A. Ciarlo.)
John Tember joined the Soft Matter Lab on 15 June 2025.

John is a PhD student in Physics at the University of Gothenburg.

He holds a Master’s degree in Media Technology and Engineering from Linköping University.

During his time at the Soft Matter Lab, he will work on data-driven life science, with a focus on developing and analyzing 3D models derived from lightsheet microscopy.