#12 · Systems biology

Quantitative classification and atlases place biological structure on shared spatial axes

The common thread is the construction of quantitative reference frames that place biological structure on shared axes. DynamicAtlas aligns live and static imaging of 500 Drosophila embryos, wild type and 18 mutants, to a common morphological timeline. A single-cell transcriptomic atlas of the adult Drosophila central brain links neuronal identity to lineage and birth order. CLaSSiNet classifies nanoscale network states in super-resolution SMLM data, applied to spectrin-actin membrane skeleton organization. The items differ in scale and modality, so the shared element is methodological rather than a common geometric or mechanical model. What is new is classification and alignment at population scale, with many embryos, cell types, and network states mapped against defined coordinates. The set is small, and no item here tests explicit geometric models directly.