Differentiable microscopy for content and task aware compressive fluorescence imaging (Conference Presentation)

Udith Haputhanthri; Andrew Seeber; Dushan N. Wadduwage

doi:10.1117/12.2651584

16 March 2023 Differentiable microscopy for content and task aware compressive fluorescence imaging (Conference Presentation)

Udith Haputhanthri, Andrew Seeber, Dushan N. Wadduwage

Author Affiliations +

Proceedings Volume PC12390, High-Speed Biomedical Imaging and Spectroscopy VIII; PC1239003 (2023) https://doi.org/10.1117/12.2651584
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

The trade-off between throughput and image quality is an inherent challenge in microscopy. To improve throughput, compressive imaging under-samples image signals; the images are then computationally reconstructed. However, the information loss in the acquisition process sets the compression bounds. Here we propose differentiable compressive fluorescence microscopy (∂μ) that includes a realistic generalizable forward model with learnable-physical parameters (i.e. illumination patterns), and a novel physics-inspired inverse model. The cascaded model is end-to-end differentiable and can learn optimal compressive sampling schemes through training data. Proposed learned sampling outperforms widely used traditional compressive sampling schemes at higher compressions. We also demonstrate task-aware sampling (e.g. segmentation-aware) with the proposed framework.

Conference Presentation

Citation Download Citation

Udith Haputhanthri, Andrew Seeber, and Dushan N. Wadduwage "Differentiable microscopy for content and task aware compressive fluorescence imaging (Conference Presentation)", Proc. SPIE PC12390, High-Speed Biomedical Imaging and Spectroscopy VIII, PC1239003 (16 March 2023); https://doi.org/10.1117/12.2651584

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available