Abstract

Computational cannula microscopy is a minimally invasive imaging technique that can enable high-resolution imaging deep inside tissue. Here, we apply artificial neural networks to enable real-time, power-efficient image reconstructions that are more efficiently scalable to larger fields of view. Specifically, we demonstrate widefield fluorescence microscopy of cultured neurons and fluorescent beads with a field of view of 200 µm (diameter) and a resolution of less than 10 µm using a cannula of diameter of only 220 µm. In addition, we show that this approach can also be extended to macro-photography.

© 2020 Optical Society of America

Full Article  |  PDF Article
More Like This
3D computational cannula fluorescence microscopy enabled by artificial neural networks

Ruipeng Guo, Zhimeng Pan, Andrew Taibi, Jason Shepherd, and Rajesh Menon
Opt. Express 28(22) 32342-32348 (2020)

Numerical analysis of computational-cannula microscopy

Ganghun Kim and Rajesh Menon
Appl. Opt. 56(9) D1-D7 (2017)

Volumetric two-photon fluorescence imaging of live neurons using a multimode optical fiber

Raphaël Turcotte, Carla C. Schmidt, Martin J. Booth, and Nigel J. Emptage
Opt. Lett. 45(24) 6599-6602 (2020)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Supplementary Material (1)

NameDescription
» Visualization 1       Video using cannula photography

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Figures (4)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Tables (1)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Metrics

You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription