Deep learning-based photodamage reduction on harmonic generation microscope at low-level optical power.

Shen, Yi-Jiun; Liao, En-Yu; Tai, Tsung-Ming; Liao, Yi-Hua; Sun, Chi-Kuang; Lee, Cheng-Kuang; See, Simon; Chen, Hung-Wen

Shen, Yi-Jiun; Liao, En-Yu; Tai, Tsung-Ming; Liao, Yi-Hua; Sun, Chi-Kuang; Lee, Cheng-Kuang; See, Simon; Chen, Hung-Wen.

Afiliación

Shen YJ; International Intercollegiate Ph.D. Program, National Tsing Hua University, Hsinchu, Taiwan.
Liao EY; Department of Electrical Engineering and Graduate Institute of Photonics and Optoelectronics, National Taiwan University, Taipei, Taiwan.
Tai TM; NVIDIA AI Technology Center, NVIDIA, Taipei, Taiwan.
Liao YH; Department of Dermatology, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan.
Sun CK; Department of Electrical Engineering and Graduate Institute of Photonics and Optoelectronics, National Taiwan University, Taipei, Taiwan.
Lee CK; NVIDIA AI Technology Center, NVIDIA, Taipei, Taiwan.
See S; NVIDIA AI Technology Center, NVIDIA, Taipei, Taiwan.
Chen HW; International Intercollegiate Ph.D. Program, National Tsing Hua University, Hsinchu, Taiwan.

J Biophotonics ; 17(1): e202300285, 2024 01.

Article en En | MEDLINE | ID: mdl-37738103

Asunto(s)

Aprendizaje Profundo; Microscopía

Palabras clave

deep learning; harmonic generation microscope (HGM); nonlinear optics; photodamage; phototoxicity

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Prognostic_studies Idioma: En Revista: J Biophotonics Asunto de la revista: BIOFISICA Año: 2024 Tipo del documento: Article País de afiliación: Taiwán

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