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Experimental insights into data augmentation techniques for deep learning-based multimode fiber imaging: limitations and success
Jawaria Maqbool, M. Imran Cheema
https://arxiv.org/abs/2511.19072 https://arxiv.org/pdf/2511.19072 https://arxiv.org/html/2511.19072
arXiv:2511.19072v1 Announce Type: new
Abstract: Multimode fiber~(MMF) imaging using deep learning has high potential to produce compact, minimally invasive endoscopic systems. Nevertheless, it relies on large, diverse real-world medical data, whose availability is limited by privacy concerns and practical challenges. Although data augmentation has been extensively studied in various other deep learning tasks, it has not been systematically explored for MMF imaging. This work provides the first in-depth experimental and computational study on the efficacy and limitations of augmentation techniques in this field. We demonstrate that standard image transformations and conditional generative adversarial-based synthetic speckle generation fail to improve, or even deteriorate, reconstruction quality, as they neglect the complex modal interference and dispersion that results in speckle formation. To address this, we introduce a physical data augmentation method in which only organ images are digitally transformed, while their corresponding speckles are experimentally acquired via fiber. This approach preserves the physics of light-fiber interaction and enhances the reconstruction structural similarity index measure~(SSIM) by up to 17\%, forming a viable system for reliable MMF imaging under limited data conditions.
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Thermal Imaging Survey: DIY vs Professional - Learn how a thermal imaging survey can spot real problems. What does it cost? Is a trained operator useful? #thermalImaging #cutCarbon -

Thermal Imaging Survey: DIY vs Professional
Learn how a thermal imaging survey can spot real problems. What does it cost? Is a trained operator useful? #thermalImaging #cutCarbon

GE HealthCare acquires Intelerad, which sells cloud imaging software and digital workflow tools primarily to outpatient and ambulatory sites, for $2.3B (Brock E.W. Turner/Axios)
https://www.axios.com/pro/health-tech-deals/2025/11/20/ge-healthcare-…

GE HealthCare to buy Intelerad for $2.3B
The move expands GE HealthCare into outpatient enterprise imaging.

Watching manga-adaption "Radiation House" on Netflix, which is like a Lower Decks version of a Japanese medical drama, in which the doctors are arrogant and the real heroes are the techs that operate the imaging equipment.

🐭 High-speed imaging tracks live brain cell activity in awake mice
#brain

High-speed imaging tracks live brain cell activity in awake mice
A research team from the School of Engineering at The Hong Kong University of Science and Technology (HKUST) has achieved a breakthrough in brain imaging by developing the world's first technology to capture high-resolution images of the brains of awake experimental mice in a nearly noninvasive manner.

Today’s eye candy, remarkable underwater photos: #photography

Thermal Imaging Survey: DIY vs Professional - Learn how a thermal imaging survey can spot real problems. What does it cost? Is a trained operator useful? #thermalImaging #cutCarbon -

Thermal Imaging Survey: DIY vs Professional
Learn how a thermal imaging survey can spot real problems. What does it cost? Is a trained operator useful? #thermalImaging #cutCarbon

Luxembourg-based Hydrosat, which builds AI-based thermal infrared satellite tech to provide data for water resource management and more, raised a $60M Series B (Ingrid Lunden/Resilience Media)
https://resiliencemedia.co/hydrosat-rais…

Hydrosat raises $60M for its thermal satellite imaging tech
A startup building AI-based thermal infrared satellite technology to provide data for water resource management, public safety and defence applications

Replaced article(s) found for physics.optics. https://arxiv.org/list/physics.optics/new
[1/1]:
- LLM4Laser: Large Language Models Automate the Design of Lasers
Renjie Li, Ceyao Zhang, Sixuan Mao, Xiyuan Zhou, Feng Yin, Sergios Theodoridis, Zhaoyu Zhang
https://arxiv.org/abs/2104.12145
- Room-temperature valley-selective emission in Si-MoSe2 heterostructures enabled by high-quality-f...
Feng Pan, et al.
https://arxiv.org/abs/2409.09806 https://mastoxiv.page/@arXiv_physicsoptics_bot/113152185040115763
- 1T'-MoTe$_2$ as an integrated saturable absorber for photonic machine learning
Maria Carolina Volpato, Henrique G. Rosa, Tom Reep, Pierre-Louis de Assis, Newton Cesario Frateschi
https://arxiv.org/abs/2507.16140 https://mastoxiv.page/@arXiv_physicsoptics_bot/114901571498004090
- NeOTF: Guidestar-free neural representation for broadband dynamic imaging through scattering
Yunong Sun, Fei Xia
https://arxiv.org/abs/2507.22328 https://mastoxiv.page/@arXiv_physicsoptics_bot/114947052118796753
- Structured Random Models for Phase Retrieval with Optical Diffusers
Zhiyuan Hu, Fakhriyya Mammadova, Juli\'an Tachella, Michael Unser, Jonathan Dong
https://arxiv.org/abs/2510.14490 https://mastoxiv.page/@arXiv_physicsoptics_bot/115388901264416806
- Memory Effects in Time-Modulated Radiative Heat Transfer
Riccardo Messina, Philippe Ben-Abdallah
https://arxiv.org/abs/2510.19378 https://mastoxiv.page/@arXiv_physicsoptics_bot/115422659227231796
- Mie-tronics supermodes and symmetry breaking in nonlocal metasurfaces
Thanh Xuan Hoang, Ayan Nussupbekov, Jie Ji, Daniel Leykam, Jaime Gomez Rivas, Yuri Kivshar
https://arxiv.org/abs/2511.03560 https://mastoxiv.page/@arXiv_physicsoptics_bot/115502066008543828
- Integrated soliton microcombs beyond the turnkey limit
Wang, Xu, Wang, Zhu, Luo, Luo, Wang, Ni, Yang, Gong, Xiao, Li, Yang
https://arxiv.org/abs/2511.06909 https://mastoxiv.page/@arXiv_physicsoptics_bot/115530791701071777
- Ising accelerator with a reconfigurable interferometric photonic processor
Rausell-Campo, Al Kayed, P\'erez-L\'ppez, Aadhi, Shastri, Francoy
https://arxiv.org/abs/2511.13284 https://mastoxiv.page/@arXiv_physicsoptics_bot/115570439939074488
- Superradiance in dense atomic samples
I. M. de Ara\'ujo, H. Sanchez, L. F. Alves da Silva, M. H. Y. Moussa
https://arxiv.org/abs/2504.20242 https://mastoxiv.page/@arXiv_quantph_bot/114425762810828336
- Fluctuation-induced Hall-like lateral forces in a chiral-gain environment
Daigo Oue, M\'ario G. Silveirinha
https://arxiv.org/abs/2507.14754 https://mastoxiv.page/@arXiv_condmatmeshall_bot/114896308178114535
- Tensor-network approach to quantum optical state evolution beyond the Fock basis
Nikolay Kapridov, Egor Tiunov, Dmitry Chermoshentsev
https://arxiv.org/abs/2511.15295 https://mastoxiv.page/@arXiv_quantph_bot/115581390666689204
- OmniLens : Blind Lens Aberration Correction via Large LensLib Pre-Training and Latent PSF Repres...
Jiang, Qian, Gao, Sun, Yang, Yi, Li, Yang, Van Gool, Wang
https://arxiv.org/abs/2511.17126 https://mastoxiv.page/@arXiv_eessIV_bot/115603729319581340
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Thermal Imaging Survey: DIY vs Professional - Learn how a thermal imaging survey can spot real problems. What does it cost? Is a trained operator useful? #thermalImaging #cutCarbon -

Thermal Imaging Survey: DIY vs Professional
Learn how a thermal imaging survey can spot real problems. What does it cost? Is a trained operator useful? #thermalImaging #cutCarbon