4D spatiotemporal landscape of mitochondrial phenotypes across cellular states unlocked through representation learning.
PubMed / NCBI E-utilities · 学术索引收录 · 来源发布：Thu Sep 10 2026 00:00:00 GMT+0000 (Coordinated Universal Time) · 本站收录：Thu Oct 08 2026 09:08:08 GMT+0000 (Coordinated Universal Time)
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Mitochondria are four-dimensional (4D: x, y, z, and time) organelles essential for cellular function. Characterizing their 4D phenotypic landscape across diverse cellular states requires both 4D imaging and analytical frameworks. We present MitoSpace, a self-supervised deep learning model trained without labels on terabytes of single-cell lattice light-sheet microscopy data of mitochondria under m
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