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SCIENTIFIC PROGRAM
FINAL AGENDA
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ABSTRACTS
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LABORATORY FOR SPECTRAL DIAGNOSIS
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Final Agenda

Day/Date

Start time

Finish Time

Event

Location

Wednesday Evening
June 20, 2007

7:00pm

10:00pm

Welcome Reception

McLeod

Thursday
June 21, 2007

7:00am

8:00am Breakfast Dorms/Hotel

8:15am

8:30am Welcome Comments McLeod

8:30am

9:15am Prof Dieter Naumann McLeod

9:15am

10:00am Prof Rich Mendelsohn McLeod

10:00am

10:30am Coffee Break Ballroom

10:30am

11:15am Dr Nick Stone McLeod

11:15am

12:00pm Prof Michael Morris McLeod

12:00pm

1:00pm Lunch 442-444-448

1:00pm

1:40pm Special Lecture: Dr Robert Nordstrom McLeod

1:40pm

2:20pm Special Lecture: Dr Daniel Kopans McLeod

2:25pm

3:25pm Break Out Discussion Groups: Topics 1-7* Hurtig (HT)

3:40pm

5:00pm Summary of Break Out Discussions McLeod

5:00pm

7:00pm Poster Session/Vendor Exhibit/Happy Hour Ballroom

Friday June 22, 2007

7:00am 8:15am Breakfast Dorms/Hotel

8:30am

9:15am

Dr Bayden Wood

McLeod

9:15am

10:00am Dr Benjamin Bird McLeod

10:00am

10:30am Coffee Break Ballroom

10:30am

11:15am Dr Peter Lasch McLeod

11:15am

12:00pm Dr Gerald Steiner McLeod

12:00pm

1:00pm Lunch 442-444-448

1:00pm

2:00pm Break Out Discussion Groups: Topics 1-7* Hurtig (HT)

2:15pm

3:45pm Summary of Break Out Discussions McLeod

3:45pm

4:00pm Closing Remarks McLeod

4:00pm

6:00pm Coffee Break/Hands on Instrument Time Ballroom

Saturday
June 23, 2007

7:00am 8:00am Breakfast Dorms/Hotel

 8:30 am

12:00 pm

Hands-on instrument work

Ballroom/HT
** Break Out Discussion Topics:

1. Standardization of data collection, preprocessing and diagnostic algorithms
2. Standardization of sample preparation and fixation of cytological samples
3. Standardization of sample preparation and fixation of histological samples
4. Comparison and standardization of different instruments; issues of data point spacing and data acquisition
5. Discussions on the importance of experimental design, i.e. the need for confirming experiments.
6. Discussions regarding what is a ‘statistically significant’ number of samples, methods of ensuring validation, i.e. confirming the robustness of the algorithms by employing datasets obtained from different instruments.
7. Vendors: Discussion of standardization from the manufacturers’ point of view.