Panel Discussion

MIAAB 2009 will have a single three hour discussion session with the theme of "Robust Image Analysis" and the intention of further understanding limitations in high throughput applications of microscopy. The discussion will be led by six panelists with diverse expertise in high throughput cell screens, quantitative pathology, standards for microscopy, algorithms for image analysis and computational infrastructure.

Automated high-content biological microscopy (HCBM) is a rapidly advancing field with major applications in two main areas:

  • Prescreening of cell culture samples and
  • Diagnostics / prognostics based on biopsy tissue.

While there are successful applications of HCBM, the lack of standardization of image acquisition and image analysis procedures is generally considered to be significantly holding back the implementation of new, more complex applications. The discussion will start by identifying successful (and failed) applications as well as potential applications, from which we will examine the main bottlenecks preventing more rapid progress in the field. While the discussion will be open to any topic deemed relevant by the attendees, it is anticipated that the discussion will include:

  • the design of standard (phantom) test samples for
  • convenient microscopy characterization; simulated images for characterizing image analysis software, and
  • establishing well- recognized repositories of image datasets and analysis algorithms.

Discussion may also include broader topics such as whether 2D cell cultures on glass faithfully mimic cells in living organisms, and the potential for automatic, quantification of tumor biopsy samples being more cost effective than current clinical diagnostic and prognostic procedures.

It is anticipated that an outcome of the discussion will be a published position paper authored by the panelists and contributing attendees.

Panel Members

This panel discussion will be moderated by Terry Yoo and Stephen Lockett. The panel will include the following people:

  • Anne Plant, Cell System Science Group, NIST
  • Stephen Hewitt, Laboratory of Pathology, NIH NCI
  • Joel Saltz, Center for Comprehensive Informatics, Emory University
  • Steve Pieper, Surgical Planning Laboratory, Brigham & Women's Hospital
  • Michael Gerdes, Cell Biology Laboratory, GE Global Research