Swept coded aperture real-time femtophotography

Jingdan Liu, Miguel Marquez, Yingming Lai, Heide Ibrahim, Katherine Légaré, Philippe Lassonde, Xianglei Liu, Michel Hehn, Stéphane Mangin, Grégory Malinowski, Zhengyan Li, François Légaré and Jinyang Liang ()
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Jingdan Liu: Centre Énergie Matériaux Télécommunications, Institut National de la Recherche Scientifique, Université du Québec, 1650 boulevard Lionel-Boulet
Miguel Marquez: Centre Énergie Matériaux Télécommunications, Institut National de la Recherche Scientifique, Université du Québec, 1650 boulevard Lionel-Boulet
Yingming Lai: Centre Énergie Matériaux Télécommunications, Institut National de la Recherche Scientifique, Université du Québec, 1650 boulevard Lionel-Boulet
Heide Ibrahim: Centre Énergie Matériaux Télécommunications, Institut National de la Recherche Scientifique, Université du Québec, 1650 boulevard Lionel-Boulet
Katherine Légaré: Centre Énergie Matériaux Télécommunications, Institut National de la Recherche Scientifique, Université du Québec, 1650 boulevard Lionel-Boulet
Philippe Lassonde: Centre Énergie Matériaux Télécommunications, Institut National de la Recherche Scientifique, Université du Québec, 1650 boulevard Lionel-Boulet
Xianglei Liu: Centre Énergie Matériaux Télécommunications, Institut National de la Recherche Scientifique, Université du Québec, 1650 boulevard Lionel-Boulet
Michel Hehn: Institut Jean Lamour, Université de Lorraine, Parc de Saurupt CS 50840
Stéphane Mangin: Institut Jean Lamour, Université de Lorraine, Parc de Saurupt CS 50840
Grégory Malinowski: Institut Jean Lamour, Université de Lorraine, Parc de Saurupt CS 50840
Zhengyan Li: School of Optical and Electronic Information, Huazhong University of Science and Technology
François Légaré: Centre Énergie Matériaux Télécommunications, Institut National de la Recherche Scientifique, Université du Québec, 1650 boulevard Lionel-Boulet
Jinyang Liang: Centre Énergie Matériaux Télécommunications, Institut National de la Recherche Scientifique, Université du Québec, 1650 boulevard Lionel-Boulet

Nature Communications, 2024, vol. 15, issue 1, 1-9

Abstract: Abstract Single-shot real-time femtophotography is indispensable for imaging ultrafast dynamics during their times of occurrence. Despite their advantages over conventional multi-shot approaches, existing techniques confront restricted imaging speed or degraded data quality by the deployed optoelectronic devices and face challenges in the application scope and acquisition accuracy. They are also hindered by the limitations in the acquirable information imposed by the sensing models. Here, we overcome these challenges by developing swept coded aperture real-time femtophotography (SCARF). This computational imaging modality enables all-optical ultrafast sweeping of a static coded aperture during the recording of an ultrafast event, bringing full-sequence encoding of up to 156.3 THz to every pixel on a CCD camera. We demonstrate SCARF’s single-shot ultrafast imaging ability at tunable frame rates and spatial scales in both reflection and transmission modes. Using SCARF, we image ultrafast absorption in a semiconductor and ultrafast demagnetization of a metal alloy.

Date: 2024
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DOI: 10.1038/s41467-024-45820-z

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