Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency.

We propose a novel approach to reconstructing curvilinear tree structures evolving over time, such as road networks in 2D aerial images or neural structures in 3D microscopy stacks acquired in vivo. To enforce temporal consistency, we simultaneously process all images in a sequence, as opposed to reconstructing structures of interest in each image independently. We formulate the problem as a Quadratic Mixed Integer Program and demonstrate the additional robustness that comes from using all available visual clues at once, instead of working frame by frame. Furthermore, when the linear structures undergo local changes over time, our approach automatically detects them.

Computer assisted detection of axonal bouton structural plasticity in in vivo time-lapse images.

The ability to measure minute structural changes in neural circuits is essential for long-term in vivo imaging studies. Here, we propose a methodology for detection and measurement of structural changes in axonal boutons imaged with time-lapse two-photon laser scanning microscopy (2PLSM). Correlative 2PLSM and 3D electron microscopy (EM) analysis, performed in mouse barrel cortex, showed that the proposed method has low fractions of false positive/negative bouton detections (2/0 out of 18), and that 2PLSM-based bouton weights are correlated with their volumes measured in EM (r = 0.93). Next, the method was applied to a set of axons imaged in quick succession to characterize measurement uncertainty. The results were used to construct a statistical model in which bouton addition, elimination, and size changes are described probabilistically, rather than being treated as deterministic events. Finally, we demonstrate that the model can be used to quantify significant structural changes in boutons in long-term imaging experiments.

Peripheral deafferentation-driven functional somatosensory map shifts are associated with local, not large-scale dendritic structural plasticity.

Long-term peripheral deafferentation induces representational map changes in the somatosensory cortex. It has been suggested that dendrites and axons structurally rearrange in such paradigms. However, the extent and process of this plasticity remains elusive. To more precisely quantify deafferentation-induced structural plasticity of excitatory cells we repeatedly imaged GFP-expressing L2/3 and L5 pyramidal dendrites in the mouse barrel cortex over months after the removal of a subset of the whisker follicles (FR), a procedure that completely and permanently removes whisker-sensory input. In the same mice we imaged whisker-evoked intrinsic optical signals (IOS) to assess functional cortical map changes. FR triggered the expansion of spared whisker IOS responses, whereas they remained unchanged over months in controls. The gross structure and orientation of apical dendrite tufts remained stable over a two-month period, both in controls and after deprivation. However, terminal branch tip dynamics were slightly reduced after FR, and the formation of new dendritic spines was increased in a cell-type and location-dependent manner. Together, our data suggest that peripheral nerve lesion-induced cortical map shifts do not depend on the large scale restructuring of dendritic arbors but are rather associated with local cell-type and position-dependent changes in dendritic synaptic connectivity.