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We develop light-driven optoelectronic tweezers based on the organic photoconductive material titanium oxide phthalocyanine. These tweezers function based on negative dielectrophoresis (nDEP). The dynamic manipulation of a single microparticle and cell patterning are demonstrated by using this light-driven optoelectronic DEP chip. The adaptive light patterns that drive the optoelectronic DEP onchip are designed by using Flash software to approach appropriate dynamic manipulation. This is also the first reported demonstration, to the best of our knowledge, for successfully patterning such delicate cells from human hepatocellular liver carcinoma cell line HepG2 by using any optoelectronic tweezers.
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http://dx.doi.org/10.1364/OL.35.001959 | DOI Listing |
Phys Rev Lett
August 2025
Xiamen University, College of Physical Science and Technology, School of Electronic Science and Engineering, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, College of Energy, Fujian Key Laboratory of Ultrafast Laser Technology and Applica
The photonic flat band, defined by minimal dispersion and near-zero group velocity, has facilitated significant advances in optical technologies. The practical applications of flat bands, such as enhanced light-matter interactions, require efficient coupling to far-field radiation. However, achieving controlled coupling between flat bands and their corresponding localized modes with far-field radiation remains challenging and elusive.
View Article and Find Full Text PDFSci Adv
September 2025
Department of Mechanics, School of Mechanical Engineering, Tianjin University, Tianjin 300350, China.
Acoustic tweezers leverage acoustic radiation forces for noncontact manipulation. One of the core bottlenecks in multidimensional manipulation is the lack of a systematic design methodology, which prevents the generation of an acoustic field that simultaneously meets the collaborative control requirements of multi-degree-of-freedom forces and torques, making it difficult to achieve precise control under conditions of stable suspension, high-frequency rotation, and complex spatial constraints. To address this challenge, we develop an end-to-end inverse design methodology for acoustic tweezers based on coding metasurfaces, establishing a dual-objective, dual-scale optimization paradigm.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Department of Zoology, Biodiversity Research Centre, University of British Columbia, Vancouver, BC V6T 1Z4.
The size and composition of local species pools are, in part, determined by past dispersal events. Predicting how communities respond to future disturbances, such as fluctuating environmental conditions, requires knowledge of such histories. We assessed the influence of a historical dispersal event on community assembly by simulating various scales of dispersal for 240 serpentine annual plant communities that experienced a large shift from drought to high rainfall conditions over three years.
View Article and Find Full Text PDFiScience
September 2025
Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL, USA.
Goal-directed behavior requires adjusting cognitive control, both in preparation for and in reaction to conflict. Theta oscillations and population activity in dorsomedial prefrontal cortex (dmPFC) and dorsolateral PFC (dlPFC) are known to support reactive control. Here, we investigated their role in proactive control using human intracranial electroencephalogram (EEG) recordings during a Stroop task that manipulated conflict expectations.
View Article and Find Full Text PDFFront Neural Circuits
September 2025
Department of Mechano-Informatics, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan.
Introduction: Understanding how neural networks process complex patterns of information is crucial for advancing both neuroscience and artificial intelligence. To investigate fundamental principles of neural computation, we examined whether dissociated neuronal cultures, one of the most primitive living neural networks, exhibit regularity sensitivity beyond mere stimulus-specific adaptation and deviance detection.
Methods: We recorded activity to oddball electrical stimulation paradigms from dissociated rat cortical neurons cultured on high-resolution CMOS microelectrode arrays.