Towards high-throughput morphomics at the nanoscale

International Conference on Histochemistry & Cell Biology

September 14-15, 2016 Phoenix, USA

John Milton Lucocq

St. Andrews University School of Medicine, UK

Posters & Accepted Abstracts: J Cytol Histol

Abstract :

Morphological analysis is fundamental to understanding cell and tissue function. Cells and organelles comprise rich arrays of 3D data that can be mined across the imaging scales of light and electron microscopy to yield precise and bias-free measurements. Recently, we introduced the term morphome for the spatial distribution of matter in a biological object and morphomics for any method that systematically or quantitatively assesses a 3D data set. At the EM level morphomics (e.g. immuno-EM or serial section analysis) can yield petabytes of data and a big question is how to estimate high quality data easily and rapidly. In this, I will discuss the currently available solutions to the â�?�?big dataâ�? problem and strategies for removing or negotiating technological roadblocks to high-throughput. I will also address issues such as automated recognition, the integration of EM data with readouts from other imaging modes and how the morphome integrates into the omic framework.

Biography :

Email: jml7@st-andrews.ac.uk