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.

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.