Camera configurations follow binary splitting: 2, 4, 8 cameras are optically simplest. Odd numbers (3, 5, 6, 7) require asymmetric splitting. Each camera images the full field of view in its spectral band. Cost scales roughly linearly; complexity increases with alignment requirements. Trade-off: 3 cameras + filter wheel vs. 5+ cameras no filter wheel.
System Configuration
Camera Count
More cameras, faster imaging
View
Definition
The number of cameras in a multi-camera detection system. More cameras enable more simultaneous channels, reducing filter wheel changes and acquisition time, but increase cost and system complexity.
Technical Details
Simplified
Instead of one camera that has to look at different colors one at a time, multiple cameras each look at their own color all at once. More cameras = less waiting between shots = faster total imaging.
Why It Matters
The 5 vs. 3 camera decision is central to the Tzumin Lee Lab quote. 5 cameras at 25× with E9 sensors costs less than 3 Kinetix cameras at 60× while providing 70%+ faster acquisition through eliminated filter wheel changes.
Practical Example
Cost comparison: 5× E9 (~$33,000) vs 3× Kinetix (~$90,000). Speed comparison: 5-camera no filter wheel (~1,160 mm²/sec) vs 3-camera with filter wheel (~600 mm²/sec). The cheaper configuration is also faster.