With the aim to develop a sound DIA validation and calibration methodology, we designed our experiment to test and improve the accuracy of Ki67 LI estimation by automated DIA on preselected tissue microarray (TMA) Ki67 IHC images, with the ground truth obtained by counting tumour cell profiles using a stereology test grid of systematically sampled frames.
To validate our methodology, we conducted two additional experiments using subsets of images from NAPS and IAPS to compare the ratings obtained with the slider scale to ratings obtained with a computerized version of the SAM.
This methodology is experimented on manufacturing component and deployed within e-maintenance architecture.
The methodology was experimented through shaking table tests reproducing several earthquakes.
We recommend this methodology for experiments like the one presented in this manuscript, where the aim is to identify a large number of genomic sites of protein-DNA interaction.
We describe the methodology, experiments, and the operation principle of this device, and we focus on the challenges encountered in optimizing and adapting the system to the specific cell-culture conditions.
This is in contrast to the traditional methodology whereby experiments are guided based on experience and intuition of chemists.
In this section, we present our evaluation metrics, experiment methodology and experiment results.
In this subsection, we describe the methodology of the experiment.
To validate the proposed methodology an experiment is used.
