<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Būtaitė, Unė G.</style></author><author><style face="normal" font="default" size="100%">Kupianskyi, Hlib</style></author><author><style face="normal" font="default" size="100%">Cizmar, Tomas</style></author><author><style face="normal" font="default" size="100%">Phillips, David B.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">How to Build the ``Optical Inverse'' of a Multimode Fibre</style></title><secondary-title><style face="normal" font="default" size="100%">Intelligent Computing</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">KF</style></keyword><keyword><style  face="normal" font="default" size="100%">MF</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2022</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.34133/2022/9816026</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">2022</style></volume><pages><style face="normal" font="default" size="100%">9816026</style></pages><isbn><style face="normal" font="default" size="100%">null</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Li, Shuhui</style></author><author><style face="normal" font="default" size="100%">Saunders, Charles</style></author><author><style face="normal" font="default" size="100%">Lum, Daniel J.</style></author><author><style face="normal" font="default" size="100%">Murray-Bruce, John</style></author><author><style face="normal" font="default" size="100%">Goyal, Vivek K.</style></author><author><style face="normal" font="default" size="100%">Cizmar, Tomas</style></author><author><style face="normal" font="default" size="100%">Phillips, David B.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Compressively sampling the optical transmission matrix of a multimode fibre</style></title><secondary-title><style face="normal" font="default" size="100%">LIGHT-SCIENCE &amp; APPLICATIONS</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">KF</style></keyword><keyword><style  face="normal" font="default" size="100%">MF</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">APR 21</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">10</style></volume><pages><style face="normal" font="default" size="100%">88</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Li, Shuhui</style></author><author><style face="normal" font="default" size="100%">Horsley, Simon A. R.</style></author><author><style face="normal" font="default" size="100%">Tyc, Tomáš</style></author><author><style face="normal" font="default" size="100%">Cizmar, Tomas</style></author><author><style face="normal" font="default" size="100%">Phillips, David B.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Memory effect assisted imaging through multimode optical fibres</style></title><secondary-title><style face="normal" font="default" size="100%">Nature Communications</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">KF</style></keyword><keyword><style  face="normal" font="default" size="100%">MF</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2021</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.1038/s41467-021-23729-1</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">12</style></volume><pages><style face="normal" font="default" size="100%">3751</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;When light propagates through opaque material, the spatial information it holds becomes scrambled, but not necessarily lost. Two classes of techniques have emerged to recover this information: methods relying on optical memory effects, and transmission matrix (TM) approaches. Here we develop a general framework describing the nature of memory effects in structures of arbitrary geometry. We show how this framework, when combined with wavefront shaping driven by feedback from a guide-star, enables estimation of the TM of any such system. This highlights that guide-star assisted imaging is possible regardless of the type of memory effect a scatterer exhibits. We apply this concept to multimode fibres (MMFs) and identify a `quasi-radial' memory effect. This allows the TM of an MMF to be approximated from only one end - an important step for micro-endoscopy. Our work broadens the applications of memory effects to a range of novel imaging and optical communication scenarios.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Box, Stuart J.</style></author><author><style face="normal" font="default" size="100%">Allen, Michael P.</style></author><author><style face="normal" font="default" size="100%">Phillips, David B.</style></author><author><style face="normal" font="default" size="100%">Simpson, Stephen H.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Entropy Production in an Elementary, Light Driven Micro-Machine</style></title><secondary-title><style face="normal" font="default" size="100%">Frontiers in Physics</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">KF</style></keyword><keyword><style  face="normal" font="default" size="100%">LF</style></keyword><keyword><style  face="normal" font="default" size="100%">MF</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2020</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.frontiersin.org/article/10.3389/fphy.2020.593122</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">8</style></volume><pages><style face="normal" font="default" size="100%">538</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;We consider the basic, thermodynamic properties of an elementary micro-machine operating at colloidal length scales. In particular, we track and analyze the driven stochastic motion of a carefully designed micro-propeller rotating unevenly in an optical tweezers, in water. In this intermediate regime, the second law of macroscopic thermodynamics is satisfied only as an ensemble average, and individual trajectories can be temporarily associated with decreases in entropy. We show that our light driven micro-propeller satisfies an appropriate fluctuation theorem that constrains the probability with which these apparent violations of the second law occur. Implications for the development of more complex micro-machines are discussed.&lt;/p&gt;</style></abstract></record></records></xml>