Red and blue light illumination has been reported to significantly affect plantlet growth.Potato is an important food and feed crop in the world and potato plantlet cultured in vitro plays an important role in potato ...Red and blue light illumination has been reported to significantly affect plantlet growth.Potato is an important food and feed crop in the world and potato plantlet cultured in vitro plays an important role in potato production.However,few studies have documented the effects of red and blue light on the growth of potato plantlets revealed at the transcriptome level.The objective of this study was to determine the growth and physiological responses of potato plantlets cultured in vitro under monochromatic red(RR),monochromatic blue(BB)as well as combined red and blue(RB)LEDs using the RNA-Seq technique.In total,3150 and 814 differentially expressed genes(DEGs)were detected in potato plantlets under RR and BB,respectively,compared to RB(used as control).Compared to the control,the DEGs enriched in"photosynthesis"and"photosynthesis-antenna proteins"metabolic pathways were up-regulated and down-regulated by BB and RR,respectively,which might be responsible for the increases and decreases of maximum quantum yield(F_(v)/F_(m)),photochemical quantum yield(φ_(PSII)),photochemical quenching(q_(P))and electron transfer rate(ETR)in BB and RR,respectively.Potato plantlets exhibited dwarfed stems and extended leaves under BB,whereas elongated stems and small leaves were induced under RR.These dramatically altered plantlet phenotypes were associated with variable levels of endogenous plant hormones gibberellin(GAs),indoleacetic acid(IAA)and cytokinins(CKs),as assessed in stems and leaves of potato plantlets.In addition,monochromatic red and blue LEDs trigged the opposite expression profiles of DEGs identified in the"plant hormone signal transduction"metabolic pathway,which were closely related to the endogenous plant hormone levels in potato plantlets.Our results provide insights into the responses of potato plantlets cultured in vitro to red and blue LEDs at the transcriptomic level and may contribute to improvements in the micro-propagation of potato plantlets cultured in vitro from the light spectrum aspect.展开更多
In underwater wireless optical communication(UWOC)systems,the alignment between the laser transmitter and receiver is disrupted by light scattering and imaging angle variations,reducing spot imaging quality,positionin...In underwater wireless optical communication(UWOC)systems,the alignment between the laser transmitter and receiver is disrupted by light scattering and imaging angle variations,reducing spot imaging quality,positioning accuracy,and link stability.To overcome these limitations,a deep-learning-based light source detection network(LSDNet)is designed for the active link alignment task in UWOC systems.Within the backbone,a locally sparse dynamic graph construction(MDGC)method,guided by multi-dimensional hybrid collaborative attention,is proposed to learn deep representations of underwater optical images,reduce node redundancy,filter out false spots,and suppress scattering.To train and evaluate the model,we construct the UWOC light-emitting diode(LED)light source detection benchmark dataset(UWLED),encompassing 22,770 high-quality images across diverse complex underwater scenarios.Experimental results demonstrate that the proposed LSDNet outperforms other advanced methods,achieving an AP_(50)^(val)of 99.2%and the mean center location error(CLE)below 5.41 pixels on the test set,while also exhibiting outstanding robustness under low-light and scattering conditions.Moreover,LSDNet reduces the number of parameters by 30.8%and achieves an 8.2%higher AP_(50)^(val)compared to the vision graph neural network(ViG).The UWOC system based on LSDNet achieves a bit error rate(BER)at the 10^(-8)level over a distance of 35 m.展开更多
The growing demand for broadband near-infrared[NIR]irradiation in security,biomedicine,and food science is driving the development of new NIR light sources.Herein,a series of Cr^(3+)/Ni^(2+)co-doped transparent glass ...The growing demand for broadband near-infrared[NIR]irradiation in security,biomedicine,and food science is driving the development of new NIR light sources.Herein,a series of Cr^(3+)/Ni^(2+)co-doped transparent glass ceramics containing octahedrally coordinated KCdF_3 nanocrystals have been successfully prepared.Under 450 nm blue light excitation,the combination of Cr^(3+)and Ni^(2+)results in an ultra-broadband NIR emission band ranging from 700 to 1800 nm.Based on the excitation and emission spectra and the decay lifetime curves,the energy transfer[ET]efficiency from Cr^(3+)to Ni^(2+)is confirmed to be 50.2%.A glass ceramic-converted NIR-LED was fabricated by integrating a commercial blue LED chip with a representative Cr^(3+)/Ni^(2+)co-doped glass ceramic and has demonstrated potential applications in the areas of covert information recognition and night vision illumination.Our investigation provides new insights into the development of ultra-broadband NIR light sources that are both cost-effective and efficient.展开更多
基金funded by the Scientific Research Fund of College of Science&Technology,Ningbo University for the Introduction of High-level Talents,China(RC190006)。
文摘Red and blue light illumination has been reported to significantly affect plantlet growth.Potato is an important food and feed crop in the world and potato plantlet cultured in vitro plays an important role in potato production.However,few studies have documented the effects of red and blue light on the growth of potato plantlets revealed at the transcriptome level.The objective of this study was to determine the growth and physiological responses of potato plantlets cultured in vitro under monochromatic red(RR),monochromatic blue(BB)as well as combined red and blue(RB)LEDs using the RNA-Seq technique.In total,3150 and 814 differentially expressed genes(DEGs)were detected in potato plantlets under RR and BB,respectively,compared to RB(used as control).Compared to the control,the DEGs enriched in"photosynthesis"and"photosynthesis-antenna proteins"metabolic pathways were up-regulated and down-regulated by BB and RR,respectively,which might be responsible for the increases and decreases of maximum quantum yield(F_(v)/F_(m)),photochemical quantum yield(φ_(PSII)),photochemical quenching(q_(P))and electron transfer rate(ETR)in BB and RR,respectively.Potato plantlets exhibited dwarfed stems and extended leaves under BB,whereas elongated stems and small leaves were induced under RR.These dramatically altered plantlet phenotypes were associated with variable levels of endogenous plant hormones gibberellin(GAs),indoleacetic acid(IAA)and cytokinins(CKs),as assessed in stems and leaves of potato plantlets.In addition,monochromatic red and blue LEDs trigged the opposite expression profiles of DEGs identified in the"plant hormone signal transduction"metabolic pathway,which were closely related to the endogenous plant hormone levels in potato plantlets.Our results provide insights into the responses of potato plantlets cultured in vitro to red and blue LEDs at the transcriptomic level and may contribute to improvements in the micro-propagation of potato plantlets cultured in vitro from the light spectrum aspect.
基金supported by the Natural Science Foundation of Hubei Province(No.2022CFD045)the Key Research and Development Program of the Science and Technology Department of Hubei Province(No.2021BAB099)the National Innovation and Entrepreneurship Training Program for College Students(No.202410513004)。
文摘In underwater wireless optical communication(UWOC)systems,the alignment between the laser transmitter and receiver is disrupted by light scattering and imaging angle variations,reducing spot imaging quality,positioning accuracy,and link stability.To overcome these limitations,a deep-learning-based light source detection network(LSDNet)is designed for the active link alignment task in UWOC systems.Within the backbone,a locally sparse dynamic graph construction(MDGC)method,guided by multi-dimensional hybrid collaborative attention,is proposed to learn deep representations of underwater optical images,reduce node redundancy,filter out false spots,and suppress scattering.To train and evaluate the model,we construct the UWOC light-emitting diode(LED)light source detection benchmark dataset(UWLED),encompassing 22,770 high-quality images across diverse complex underwater scenarios.Experimental results demonstrate that the proposed LSDNet outperforms other advanced methods,achieving an AP_(50)^(val)of 99.2%and the mean center location error(CLE)below 5.41 pixels on the test set,while also exhibiting outstanding robustness under low-light and scattering conditions.Moreover,LSDNet reduces the number of parameters by 30.8%and achieves an 8.2%higher AP_(50)^(val)compared to the vision graph neural network(ViG).The UWOC system based on LSDNet achieves a bit error rate(BER)at the 10^(-8)level over a distance of 35 m.
基金supported by the National Natural Science Foundation of China(No.52472003)the China Postdoctoral Science Foundation(No.2023M743783)+3 种基金the Natural Science Foundation of Ningbo(No.2024J199)the General Scientific Research Project of Zhejiang Education Department(Nos.Y202352183 and Y202351619)the Provincial Universities Basic Research Expenses of Ningbo University(No.SJLY2024006)the Scientific Research Starting Foundation of Ningbo University of Technology(No.2022KQ51)。
文摘The growing demand for broadband near-infrared[NIR]irradiation in security,biomedicine,and food science is driving the development of new NIR light sources.Herein,a series of Cr^(3+)/Ni^(2+)co-doped transparent glass ceramics containing octahedrally coordinated KCdF_3 nanocrystals have been successfully prepared.Under 450 nm blue light excitation,the combination of Cr^(3+)and Ni^(2+)results in an ultra-broadband NIR emission band ranging from 700 to 1800 nm.Based on the excitation and emission spectra and the decay lifetime curves,the energy transfer[ET]efficiency from Cr^(3+)to Ni^(2+)is confirmed to be 50.2%.A glass ceramic-converted NIR-LED was fabricated by integrating a commercial blue LED chip with a representative Cr^(3+)/Ni^(2+)co-doped glass ceramic and has demonstrated potential applications in the areas of covert information recognition and night vision illumination.Our investigation provides new insights into the development of ultra-broadband NIR light sources that are both cost-effective and efficient.
