3 research outputs found
Lateral Heterostructured Vis–NIR Photodetectors with Multimodal Detection for Rapid and Precise Classification of Glioma
Precise
diagnosis of the boundary and grade of tumors
is especially
important for surgical dissection. Recently, visible and near-infrared
(Vis–NIR) absorption differences of tumors are demonstrated
for a precise tumor diagnosis. Here, a template-assisted sequential
printing strategy is investigated to construct lateral heterostructured
Vis–NIR photodetectors, relying on the up-conversion nanoparticles
(UCNPs)/perovskite arrays. Under the sequential printing process,
the synergistic effect and co-confinement are demonstrated to induce
the UCNPs to cover both sides of the perovskite microwire. The side-wrapped
lateral heterogeneous UCNPs/perovskite structure exhibits more satisfactory
responsiveness to Vis–NIR light than the common fully wrapped
structure, due to sufficient visible-light-harvesting ability. The
Vis–NIR photodetectors with R reaching 150
mA W–1 at 980 nm and 1084 A W–1 at 450 nm are employed for the rapid classification of glioma. The
detection accuracy rate of 99.3% is achieved through a multimodal
analysis covering the Vis–NIR light, which provides a reliable
basis for glioma grade diagnosis. This work provides a concrete example
for the application of photodetectors in tumor detection and surgical
diagnosis
Lateral Heterostructured Vis–NIR Photodetectors with Multimodal Detection for Rapid and Precise Classification of Glioma
Precise
diagnosis of the boundary and grade of tumors
is especially
important for surgical dissection. Recently, visible and near-infrared
(Vis–NIR) absorption differences of tumors are demonstrated
for a precise tumor diagnosis. Here, a template-assisted sequential
printing strategy is investigated to construct lateral heterostructured
Vis–NIR photodetectors, relying on the up-conversion nanoparticles
(UCNPs)/perovskite arrays. Under the sequential printing process,
the synergistic effect and co-confinement are demonstrated to induce
the UCNPs to cover both sides of the perovskite microwire. The side-wrapped
lateral heterogeneous UCNPs/perovskite structure exhibits more satisfactory
responsiveness to Vis–NIR light than the common fully wrapped
structure, due to sufficient visible-light-harvesting ability. The
Vis–NIR photodetectors with R reaching 150
mA W–1 at 980 nm and 1084 A W–1 at 450 nm are employed for the rapid classification of glioma. The
detection accuracy rate of 99.3% is achieved through a multimodal
analysis covering the Vis–NIR light, which provides a reliable
basis for glioma grade diagnosis. This work provides a concrete example
for the application of photodetectors in tumor detection and surgical
diagnosis
Lateral Heterostructured Vis–NIR Photodetectors with Multimodal Detection for Rapid and Precise Classification of Glioma
Precise
diagnosis of the boundary and grade of tumors
is especially
important for surgical dissection. Recently, visible and near-infrared
(Vis–NIR) absorption differences of tumors are demonstrated
for a precise tumor diagnosis. Here, a template-assisted sequential
printing strategy is investigated to construct lateral heterostructured
Vis–NIR photodetectors, relying on the up-conversion nanoparticles
(UCNPs)/perovskite arrays. Under the sequential printing process,
the synergistic effect and co-confinement are demonstrated to induce
the UCNPs to cover both sides of the perovskite microwire. The side-wrapped
lateral heterogeneous UCNPs/perovskite structure exhibits more satisfactory
responsiveness to Vis–NIR light than the common fully wrapped
structure, due to sufficient visible-light-harvesting ability. The
Vis–NIR photodetectors with R reaching 150
mA W–1 at 980 nm and 1084 A W–1 at 450 nm are employed for the rapid classification of glioma. The
detection accuracy rate of 99.3% is achieved through a multimodal
analysis covering the Vis–NIR light, which provides a reliable
basis for glioma grade diagnosis. This work provides a concrete example
for the application of photodetectors in tumor detection and surgical
diagnosis