Advancements in automated cell analysis: The MitoEM challenge

2023 Oct 20

Advancements in automated cell analysis: The MitoEM challenge
Researchers Daniel Franco-Barranco (DIPC, UPV/EHU) and Ignacio Arganda-Carreras (DIPC, Ikerbasque, UPV/EHU).

In collaboration with researchers from the Visual Computing Group at Harvard University, members of the Donostia International Physics Center (DIPC) and the University of the Basque Country (UPV/EHU) have made significant strides in understanding the intricate world of mitochondria, the cellular powerhouses responsible for energy production. 

By leveraging cutting-edge technology and data analysis, their recent paper,  "Current Progress and Challenges in Large-scale 3D Mitochondria Instance Segmentation" in IEEE Transactions on Medical Imaging, sheds light on the findings of the MitoEM challenge, a pioneering initiative focused on the 3D segmentation of mitochondria from electron microscopy images. These images, derived from the brain tissue of both humans and rats, offer invaluable insights into the fundamental workings of these vital cellular components. 

The MitoEM challenge attracted a diverse pool of talent, with 257 participants registering, 14 teams submitting their results, and six teams actively participating in the challenge workshop. Through rigorous evaluation and collaboration, the team unveiled eight top-performing approaches alongside their own essential strategies. Critically, their work led to the identification of key areas where current segmentation methodologies could be refined, leading to the proposal of an enhanced scoring system to ensure more accurate results. 

Despite the remarkable progress made, the researchers acknowledge that significant challenges still remain in accurately delineating complex mitochondria morphologies. The study underscores the ongoing need for innovative solutions and welcomes contributions to this critical area of cellular research. All volumes and resources are readily accessible for download, fostering collaboration and further advancements in this dynamic field.

D. Franco-Barranco et al., "Current Progress and Challenges in Large-scale 3D Mitochondria Instance Segmentation," in IEEE Transactions on Medical Imaging, doi: 10.1109/TMI.2023.3320497.