An exception to the rule? Regeneration of the injured spinal cord in the spiny mouse

Daniel Wehner, Catherina G. Becker

The capacity for long-distance axon regeneration and functional recovery after spinal cord injury in the adult has long been thought to be a unique feature of certain non-mammalian vertebrates. However, in this issue of Developmental Cell, Nogueira-Rodrigues et al. report an astonishingly high regenerative ability in the spiny mouse.

Nonlinear microscopy using impulsive stimulated Brillouin scattering for high-speed elastography

Benedikt Krug, Nektarios Koukourakis, Jochen Guck, Jürgen Czarske

The impulsive stimulated Brillouin microscopy promises fast, non-contact measurements of the elastic properties of biological samples. The used pump-probe approach employs an ultra-short pulse laser and a cw laser to generate Brillouin signals. Modeling of the microscopy technique has already been carried out partially, but not for biomedical applications. The nonlinear relationship between pulse energy and Brillouin signal amplitude is proven with both simulations and experiments. Tayloring of the excitation parameters on the biologically relevant polyacrylamide hydrogels outline sub-ms temporal resolutions at a relative precision of <1%. Brillouin microscopy using the impulsive stimulated scattering therefore exhibits high potential for the measurements of viscoelastic properties of cells and tissues.

Label-free imaging flow cytometry for analysis and sorting of enzymatically dissociated tissues

Maik Herbig, Karen Tessmer, Martin Nötzel, Ahmad Ahsan Nawaz, Tiago Santos-Ferreira, Oliver Borsch, Sylvia J. Gasparini, Jochen Guck, Marius Ader

Biomedical research relies on identification and isolation of specific cell types using molecular biomarkers and sorting methods such as fluorescence or magnetic activated cell sorting. Labelling processes potentially alter the cells’ properties and should be avoided, especially when purifying cells for clinical applications. A promising alternative is the label-free identification of cells based on physical properties. Sorting real-time deformability cytometry (soRT-DC) is a microfluidic technique for label-free analysis and sorting of single cells. In soRT-FDC, bright-field images of cells are analyzed by a deep neural net (DNN) to obtain a sorting decision, but sorting was so far only demonstrated for blood cells which show clear morphological differences and are naturally in suspension. Most cells, however, grow in tissues, requiring dissociation before cell sorting which is associated with challenges including changes in morphology, or presence of aggregates. Here, we introduce methods to improve robustness of analysis and sorting of single cells from nervous tissue and provide DNNs which can distinguish visually similar cells. We employ the DNN for image-based sorting to enrich photoreceptor cells from dissociated retina for transplantation into the mouse eye.