From Hours to Seconds: Towards 100x Faster Quantitative Phase Imaging via Differentiable Microscopy

no code implementations • 23 May 2022 • Udith Haputhanthri, Kithmini Herath, Ramith Hettiarachchi, Hasindu Kariyawasam, Azeem Ahmad, Balpreet S. Ahluwalia, Chamira U. S. Edussooriya, Dushan N. Wadduwage

To this end, we present a learnable optical compression-decompression framework that learns content-specific features.

SSIM

Differentiable Microscopy Designs an All Optical Quantitative Phase Microscope

no code implementations • 28 Mar 2022 • Kithmini Herath, Udith Haputhanthri, Ramith Hettiarachchi, Hasindu Kariyawasam, Raja N. Ahmad, Azeem Ahmad, Balpreet S. Ahluwalia, Chamira U. S. Edussooriya, Dushan Wadduwage

Differentiable microscopy first models a common physics-based optical system however with trainable optical elements at key locations on the optical path.

Study of waveguide background at visible wavelengths for on-chip nanoscopy

no code implementations • 25 Jan 2021 • David A. Coucheron, Øystien I. Helle, James S. Wilkinson, Ganapathy Senthil Murugan, Carlos Domínguez, Hallvar Angelskår, Balpreet S. Ahluwalia

The localization precision at 640 nm was very similar for both the materials.

Super-Resolution Optics

Object detection neural network improves Fourier ptychography reconstruction

1 code implementation • 23 Nov 2020 • Florian Ströhl, Suyog Jadhav, Balpreet S. Ahluwalia, Krishna Agarwal, and Dilip K. Prasad

Intriguingly, we find that conventionally beneficial smoothing and filtering of raw data is counterproductive in this type of application.

object-detection Object Detection