DEEP2: Deep Learning Powered De-scattering with Excitation Patterning (DEEP)
Name
oe-30-20-36651.pdf
Description
Published version
Size
4.28 MB
Format
Adobe PDF
Checksum (MD5)
55a8c45be14b4ba38ce6c5938d61aa0d
Author(s)
Wijethilake, Navodini
Anandakumar, Mithunjha
Zheng, Cheng
So, Peter T. C.
Yildirim, Murat
Wadduwage, Dushan N.
Date Issued
2023
Journal
Biophotonics Congress: Optics in the Life Sciences 2023 (OMA, NTM, BODA, OMP, BRAIN)
Publisher
Optica Publishing Group
Citation
Guigen Liu, Jeon Woong Kang, Sharath Bhagavatula, Sebastian W. Ahn, Peter T. C. So, Guillermo J. Tearney, and Oliver Jonas, "Bendable long graded index lens microendoscopy," Opt. Express 30, 36651-36664 (2022).
Version
Final published version
Abstract
Graded index (GRIN) lens endoscopy has broadly benefited biomedical microscopic imaging by enabling accessibility to sites not reachable by traditional benchtop microscopes. It is a long-held notion that GRIN lenses can only be used as rigid probes, which may limit their potential for certain applications. Here, we describe bendable and long-range GRIN microimaging probes for a variety of potential micro-endoscopic biomedical applications. Using a two-photon fluorescence imaging system, we have experimentally demonstrated the feasibility of three-dimensional imaging through a 500-µm-diameter and ∼11 cm long GRIN lens subject to a cantilever beam-like deflection with a minimum bend radius of ∼25 cm. Bend-induced perturbation to the field of view and resolution has also been investigated quantitatively. Our development alters the conventional notion of GRIN lenses and enables a range of innovative applications. For example, the demonstrated flexibility is highly desirable for implementation into current and emerging minimally invasive clinical procedures, including a pioneering microdevice for high-throughput cancer drug selection.
MIT Department
Massachusetts Institute of Technology. Laser Biomedical Research Center
Massachusetts Institute of Technology. Spectroscopy Laboratory
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Department of Biological Engineering
Harvard University--MIT Division of Health Sciences and Technology
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1364/brain.2023.bw3b.3
