TY - JOUR AU - Su, Lei AB - IntroductionMiniaturized ultrathin endoscopes play a vital role in minimally invasive surgery and biological applications such as in vivo fluorescence microscopy. There is a need to develop nonrigid endoscopes to access different body cavities through a small incision. Multimode fibers (MMF) are miniaturized, flexible, and high‐capacity information channels that may meet these extremely high demands due to their small diameter down to tens of microns and their ability to bend into acute angles.[1–9] However, the nature of MMF transmission leads to the scrambling of incident wavefronts resulting in random speckle patterns at the fiber output. A number of techniques in the adaptive optics domain have recently been developed to overcome this transmission degradation and to permit the desired light control through MMF.[3,10–12] Recently, advances in complex modulation of the phase or the intensity of a light beam were enabled by the development of light‐shaping hardware such as spatial light modulators (SLM) and digital micromirror devices (DMD).[13,14] Subsequently, the transmission matrix (TM) measurement of MMFs was explored,[2,3,8,9,15,16] allowing potential endoscopic applications.[8,9,17,18]The MMF transmission state is highly sensitive to external perturbations and environmental changes.[19–21] When the fiber is disturbed, the transmission state changes, and the precalibrated TM fails to remain valid to the TI - Deep Learning Enabled Scalable Calibration of a Dynamically Deformed Multimode Fiber JF - Advanced Photonics Research DO - 10.1002/adpr.202100304 DA - 2022-10-01 UR - https://www.deepdyve.com/lp/wiley/deep-learning-enabled-scalable-calibration-of-a-dynamically-deformed-0CKFwVjtyq VL - 3 IS - 10 DP - DeepDyve ER -