A modular framework for multi-scale tissue imaging and neuronal segmentation.

The development of robust tools for segmenting cellular and sub-cellular neuronal structures lags behind the massive production of high-resolution 3D images of neurons in brain tissue. The challenges are principally related to high neuronal density and low signal-to-noise characteristics in thick samples, as well as the heterogeneity of data acquired with different imaging methods. To address this issue, we design a framework which includes sample preparation for high resolution imaging and image analysis. Specifically, we set up a method for labeling thick samples and develop SENPAI, a scalable algorithm for segmenting neurons at cellular and sub-cellular scales in conventional and super-resolution STimulated Emission Depletion (STED) microscopy images of brain tissues. Further, we propose a validation paradigm for testing segmentation performance when a manual ground-truth may not exhaustively describe neuronal arborization. We show that SENPAI provides accurate multi-scale segmentation, from entire neurons down to spines, outperforming state-of-the-art tools. The framework will empower image processing of complex neuronal circuitries.

QTLs and analysis of the candidate gene for amylose, protein, and moisture content in rice (Oryza sativa L.).

In this study, we determined using NIRS the heritability percentage of amylose, protein, and moisture content in polished and unpolished rice in a CNDH population derived from a cross between Cheongcheong and Nagdong rice varieties. The results revealed a higher heritability percentage for the amylose content and compromised heritability for protein and moisture contents. We also conducted QTL analysis of rice for these major components and identified their chromosomal locations on a physical map. We found a total of four QTLs affecting the amylose, protein, and moisture contents of grain on chromosome 7. We constructed physical maps of seven DNA markers responsible for amylose content, six responsible for protein content, and three responsible for moisture content. Furthermore, we classified these genes according to their functions and found 17 genes (over 77%) to be involved in secondary metabolite synthesis, two genes (about 9%), each related to cell function and abiotic stress, and one gene (about 5%) involved in redox signaling.