Imperial College London

Professor Dan Elson

Faculty of MedicineDepartment of Surgery & Cancer

Professor of Surgical Imaging



+44 (0)20 7594 1700daniel.elson Website




415 Bessemer BuildingBessemer BuildingSouth Kensington Campus






BibTex format

author = {Zhao, T and Deng, L and Wang, W and Elson, DS and Su, L},
doi = {10.1364/OE.26.020368},
journal = {Optics Express},
pages = {20368--20378},
title = {Bayes' theorem-based binary algorithm for fast reference-less calibration of a multimode fiber},
url = {},
volume = {26},
year = {2018}

RIS format (EndNote, RefMan)

AB - In this paper, we present a Bayes’ theorem-based high-speed algorithm, to measure the binary transmission matrix of a multimode fiber using a digital micromirror device, in a reference-less multimode fiber imaging system. Based on conditional probability, we define a preset threshold to locate those digital-micromirror-device pixels that can be switched ‘ON’ to form a focused spot at the output. This leads to a binary transmission matrix consisting of ‘0’ and ‘1’ elements. High-enhancement-factor light focusing and raster-scanning at the distal end of the fiber are demonstrated experimentally. The key advantage of our algorithm is its capability for fast calibration of a MMF to form a tightly focused spot. In our experiment, for 5000 input-output pairs, we only need 0.26 s to calibrate one row of the transmission matrix to achieve a focused spot with an enhancement factor of 28. This is more than 10 times faster than the prVBEM algorithm. The proposed Bayes’ theorem-based binary algorithm can be applied not only in multimode optical fiber focusing but also to other disordered media. Particularly, it will be valuable in fast multimode fiber calibration for endoscopic imaging.
AU - Zhao,T
AU - Deng,L
AU - Wang,W
AU - Elson,DS
AU - Su,L
DO - 10.1364/OE.26.020368
EP - 20378
PY - 2018///
SN - 1094-4087
SP - 20368
TI - Bayes' theorem-based binary algorithm for fast reference-less calibration of a multimode fiber
T2 - Optics Express
UR -
UR -
UR -
VL - 26
ER -