Validation of a nonlinear optimization algorithm for reconstruction of diffused images

Living tissue is a diffusive light-scattering medium, preventing traditional fluorescence microscopy from being used as a diagnostic imaging modality. To determine microscopy from being used as a diagnostic imaging modality. To determine whether the nonlinear optimization algorithm developed for Computational Cannula Microscopy (CCM) could be used to reconstruct objects beneath a diffusive medium, calibrations of the diffusive medium were generated and test images were reconstructed. We found that calibrating the diffusive medium allowed for identification and location of complex test objects. Additionally, we found that increasing the diffusion of the diffusive medium led to a decrease in resolution of the reconstruction. Decreasing the calibration step size allowed for increase nonlinear optimization algorithm can be used to reconstruct images beneath diffusive mediums. Further, these results will aid in developing a noninvasive fluorescence diagnostic imaging technique.