Fig. 3.

A) Deconvolution noise factor (DNF) results for designing the illumination codes using different optimization methods. Random search over binary patterns gives similar performance as projected gradient descent (PGD), but is much faster. B) The optimized illumination sequences and their power spectra. C) Optimized DNF (binary random search method) for different values of the multiplexing factor $\gamma$. A power law fit of $\mathrm{D}\mathrm{N}\mathrm{F}(\gamma )=1.12{\gamma }^{0.641}$ has standard error of $1.075$.