SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3503-9
This correction addresses an image misuse in the original publication (Sci China Mater, 2025, 68(6): 2095, DOI: 10.1007/s40843-025-3311-6). Specifically, a fluorescent image in Fig. 4d, depicting live/dead cells after treatment with MPDA@TMZ without laser irradiation, was erroneously presented. The corrected Fig. 4 is provided, and the authors confirm that the results and conclusions of the original paper remain unaffected. The correction ensures the integrity of the reported data, particularly the cell viability and apoptosis assays. The study focuses on mesoporous bowl-shaped polydopamine (MPDA) nanoparticles co-loaded with temozolomide (TMZ) and indocyanine green (ICG) for synergistic glioblastoma therapy. The corrected figure includes CLSM images of G422 cells after incubation with various formulations (ICG, sPDA@ICG, mPDA@ICG, MPDA@ICG), cell viability curves, quantitative fluorescence intensity, live/dead staining, and apoptosis quantification. Statistical significance is denoted as ****p < 0.01. The correction maintains the scientific validity of the findings, which demonstrate the potential of MPDA-based nanoplatforms for combined chemo-photothermal therapy.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3786-8
Conventional cancer diagnostic techniques, such as tissue sampling and microscopy, are invasive and prone to misdiagnosis, driving the need for non-invasive, precise alternatives. Chiral biophotonics, exploiting circularly polarized light (CPL), offers unique polarization-selective interactions with biological tissues, enabling higher imaging contrast and molecular-level discrimination. However, current CPL detection technologies are passive and single-mode, lacking dynamic tunability and parallel processing capabilities. Meanwhile, AI-assisted diagnostics rely on separated sensing and computing units, suffering from poor integration and transmission inefficiency. Here, we report a near-infrared (NIR) chiral organic synaptic photodiode with electrically tunable dual-mode operation, enabling simultaneous CPL detection and neuromorphic processing. Under negative bias, the device operates as a highly sensitive CPL detector for chiroptical signal acquisition. Under positive bias, it exhibits history-dependent synaptic behavior with photocurrent dissymmetry factor (g_ph) dynamically tunable up to -0.06. By integrating this device into an optical convolutional neural network (OCNN), we achieved intelligent cancer detection with CPL-based imaging. Experimental results demonstrate that CPL detection accuracy reaches 83%, approaching the theoretical 87%, significantly outperforming natural light detection at 65%. The device enhances image contrast and feature extraction, laying a foundation for intelligent, adaptive diagnostic systems.