Measuring Process Dynamics and Nuclear Migration for Clones of Neural Progenitor Cells.
Edgar Cardenas De La HozMark R WinterMaria ApostolopoulouSally TempleAndrew R CohenPublished in: Computer vision - ECCV ... : ... European Conference on Computer Vision : proceedings. European Conference on Computer Vision (2016)
Neural stem and progenitor cells (NPCs) generate processes that extend from the cell body in a dynamic manner. The NPC nucleus migrates along these processes with patterns believed to be tightly coupled to mechanisms of cell cycle regulation and cell fate determination. Here, we describe a new segmentation and tracking approach that allows NPC processes and nuclei to be reliably tracked across multiple rounds of cell division in phase-contrast microscopy images. Results are presented for mouse adult and embryonic NPCs from hundreds of clones, or lineage trees, containing tens of thousands of cells and millions of segmentations. New visualization approaches allow the NPC nuclear and process features to be effectively visualized for an entire clone. Significant differences in process and nuclear dynamics were found among type A and type C adult NPCs, and also between embryonic NPCs cultured from the anterior and posterior cerebral cortex.
Keyphrases
- cell cycle
- cell fate
- single cell
- deep learning
- cell therapy
- convolutional neural network
- cell proliferation
- induced apoptosis
- optical coherence tomography
- magnetic resonance
- subarachnoid hemorrhage
- single molecule
- high resolution
- stem cells
- endothelial cells
- computed tomography
- young adults
- solid phase extraction
- cell cycle arrest
- machine learning
- oxidative stress
- mesenchymal stem cells
- mass spectrometry
- childhood cancer
- high speed
- signaling pathway
- molecularly imprinted
- blood brain barrier
- cerebral ischemia
- pi k akt