Deep-learning recognition and tracking of individual nanotubes in low-contrast microscopy videos

• Vladimir Pimonov,
• Said Tahir and
• Vincent Jourdain

Beilstein J. Nanotechnol. 2025, 16, 1316–1324, doi:10.3762/bjnano.16.96

• Vladimir Pimonov Said Tahir Vincent Jourdain Laboratoire Charles Coulomb, Univ Montpellier, CNRS, Montpellier, France 10.3762/bjnano.16.96 Abstract This study addresses the challenge of analyzing the growth kinetics of carbon nanotubes using in situ homodyne polarization microscopy (HPM) by

• ; polarization microscopy; Introduction Carbon nanotubes (CNTs), discovered over three decades ago, continue to present unresolved questions and challenges. Their exceptional properties, both theoretically [1][2] and experimentally demonstrated [3], make them desirable for electronic and optical devices

• selectivity, particularly kinetic selectivity. To address this, we developed a method based on in situ homodyne polarization microscopy (HPM), which is highly sensitive and can detect changes in optical absorption caused by a single carbon nanotube. The technique allows for imaging tens to hundreds of

Dynamic behavior of nematic liquid crystal mixtures with quantum dots in electric fields

• Emil Petrescu,
• Cristina Cirtoaje and
• Octavian Danila

Beilstein J. Nanotechnol. 2018, 9, 399–406, doi:10.3762/bjnano.9.39

• was checked by using polarization microscopy. The mass concentration was 0.89%, which led to a volumetric fraction of 1.16% (the QD density is 0.87 g/cm3 and the density of 5CB is 1.02 g/cm3). The mixture was used to fill a 15 μm thick planar aligned cell from Instek, which was mounted in a holder