Hi Everyone,
I think that PE might be incorrect about the oversampling at 60x bin1, at least following the Nquyst sampling guidelines. That being said, I wanted to get back to the original question regarding the 100x objective. Using 60x bin1 is a better solution than using 100x bin2, since one would cover a larger area and achieve better resolution using the 60x bin1 strategy.
I wanted to alter in my earlier comment is that uncoupling the analysis from the acquisition makes most sense if you have a separate analysis pipeline (at least this would be the major reason), because no matter what you do you will need to spend sometime analyzing the data.
The points raised by Martin are all correct, including decreasing the number of RMCA, the one caveat to this solution is that if you use 2 RMCA, when you run the "re-analysis" of the data, only 2 RMCA would be used, which also means analysis would not be as quick as if you started with 4 or 8 RMCA. This is not an issue using our analysis pipeline with Acapella Linux running on our Linux cluster, since we create jobs of our own. I also implemented a scheduler, that can work on multi-core windows machine so if you had an 8 or 16 core windows server running Acapella, that would be a good solution to speed up your analysis, the one caveat there being that it is not using a GUI but a command line interface.
Finally if storage and analysis is an issue at 60x bin1, the issue will continue at 100x bin2, mostly because you would need to take more pictures to cover the same area. As far as timing, the increased number of fields required to cover a similar area would result in as much time being dedicated to the screen, although this added time (ie. the extra 1.5Hr for data processing) instead of being for data processing only would be data-processing AND data acquisition (ie. the acquisition and the data-processing would take about the amount of time ~3Hrs). Together I think the 60x bin1 strategy is a better solution.
I think the solution to your problem would come from getting new RMCA for processing data off-line (ie. after reading the plates), or if your institute has a Linux cluster, maybe you can look into Acapella Linux solution. For the windows solution described above, you can look at the google.code repository I created at:
http://code.google.com/p/operahci/, there are also other Acapella resources that can be of interest to you there.
Best,
Ghislain