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Computational Science in Bio-metrology

Summary

Computational Science in Biological Metrology (CS in Bio Metrology) project is about Computational Science and Biology Delivering Measurements with Statistical Significance and Repeatability. The goal of the project is to ensure quality in biomedical research and clinical applications by evolving biology into a quantitative and information science. These activities will support applications such as: biomanufacturing, drug discovery, basic bio-medical research, medical intervention, diagnostics, and regenerative medicine.
For more information, see the project URL with data, activities, and software.

overview

Description

With the increasing reliance of system biology researchers on microscopy imaging and the growing volumes of images generated during each experiment, there is a need to intertwine computational science and biological metrology. The motivation lies not only in saving human labor and time needed to achieve a biological discovery but also in understanding the accuracy and uncertainty introduced by computational steps of a discovery process. The overall objective is to ensure quality of outcomes obtained from collaborative research using microscopy imaging, and scalability of data-driven biological discovery with the increasing data volumes. This objective has to be achieved by bringing together multi-disciplinary expertise working on:

  1. Automated & Scalable & Web Accessible Cell Microscopy Image Analyses and Syntheses using Software & Systems, and
  2. Quantitative Cell Biology using Microscopy Imaging and Image Analyses.

The following are key activities being addressed in this work(link to activity pages):

  • Image sampling accuracy
  • Image quality and image segmentation/classification accuracy
  • Image segmentation based measurements
  • Selection of segmentation/classification based on image conformance to algorithmic assumptions
  • Image similarity metric selection based on application specific requirements
  • Web accessible image similarity measurements

Major Accomplishments

  1. Dynamic Measurements in Live Cell Microscopy
  2. Automated microscopy acquisition control
  3. Sub-cellular features to measure cell microenvironments
  4. Collaborative infrastructure supporting the multidisciplinary team
Created April 30, 2013, Updated March 23, 2018