A Regularized Inverse Holographic Volume Reconstruction (RIHVR) GUI Program for Digital Inline Holography (DIH)

Digital inline holography is a well-established experimental technique used to capture three-dimensional (3D) information from a scene onto a two-dimensional image using a single camera. The retrieval of the 3D scene from the recorded hologram is an ill-posed inverse problem. One of the methods to compute the 3D scene from the recorded hologram is via an iterative inversion of the regularized variational formulation of the holographic reconstruction problem. However, such an iterative inversion is complex to implement and could be prohibitively computationally expensive. This has led to a high barrier to entry, resulting in limited adoption. Here, we present an open-source iterative inverse holographic volume reconstruction algorithm with compute unified device architecture (CUDA) accelerated computations that can handle large reconstruction volumes while being computationally efficient. The developed program can get 3D particle tracks from holographic particle data, enabling 3D particle tracking velocimetry and microbial tracking. For ease of use, the program has a graphical user interface (GUI) along with integrated pre-/post-processing utilities.