Graphene grids exhibit exceptional loading capacity for macromolecules,single atoms,and nanoparticles,offering significant potential for exploring the structure and properties of various materials at the nanoscale.How...Graphene grids exhibit exceptional loading capacity for macromolecules,single atoms,and nanoparticles,offering significant potential for exploring the structure and properties of various materials at the nanoscale.However,challenges such as carbon film rupture,contamination,and uneven graphene film coverage frequently occur during grid fabrication.Here wepropose a dual-stage deep learning model integrating U-Net and an enhanced YOLO11 architecture,enabling efficient and accurate defect detection and graphene coverage quantification.A tailored data augmentation strategy expanded the initial defect dataset by more than an order of magnitude,which directly contributed to an overall 11.72%improvement across the model’s performance metrics.With the integration of the multi-scale convolutional attention(MSCA)module and the slicing-aided hyper inference(SAHI)method,the model achieved a 0.67%mean absolute percentage error(MAPE),while reducing the average detection time from 26.6 to 0.1 min per image.The proposed model holds strong potential for extension to various material characterization image analysis tasks,providing a scalable strategy for high-throughput image processing that bridges fundamental research with industrialscale applications.展开更多
Rapid,high-throughput,timely,multiplex diagnosis of respiratory-tract infections still relies on laboratory infrastructure,sequential assays,and trained personnel,thereby delaying targeted therapy and outbreak contain...Rapid,high-throughput,timely,multiplex diagnosis of respiratory-tract infections still relies on laboratory infrastructure,sequential assays,and trained personnel,thereby delaying targeted therapy and outbreak containment.In this study,a Fully Automated rotary microfluidic platform(FA-RMP)for high-throughput multiplex respiratory tract pathogens detection was presented.FA-RMP enables a true“sample-in,result-out”workflow through the integration of swab lysis,reagent partitioning,lyophilized reverse transcription loop-mediated isothermal amplification(RT-LAMP),and movingprobe fluorescence read-out,all encapsulated with a disposable microfluidic cartridge and paired with a 9 kg,fourchannel benchtop reader.The FA-RMP enables parallel processing of 16 independent reactions within 30 min,supporting simultaneous detection of up to 4 distinct clinical samples.Analytical validation using serially diluted Mycoplasma pneumoniae(MP)DNA established a limit of detection(LoD)of 50 copies μL^(-1) and a log-linear correlation between threshold time and template load(R^(2)=0.9528).Testing with eight non-target respiratory pathogens yielded no amplification,confirming high analytical specificity.FA-RMP successfully detected the clinical samples with influenza A,influenza B,and MP,further demonstrating its robust multiplex detection capability.By integrating automated sample preparation,multiplex isothermal amplification and quantitative detection into a portable,high-throughput system,the platform delivers laboratory-grade performance at the point of care,serving as a scalable tool for routine respiratory pathogens screening and rapid epidemic response.展开更多
BACKGROUND Klebsiella pneumoniae(K.pneumoniae)is an infective microorganism of worldwide concern because of its varied manifestations and life-threatening potential.Genetic analyses have revealed that subspecies of K....BACKGROUND Klebsiella pneumoniae(K.pneumoniae)is an infective microorganism of worldwide concern because of its varied manifestations and life-threatening potential.Genetic analyses have revealed that subspecies of K.pneumoniae exhibit higher virulence and mortality.However,infections with Klebsiella subspecies are often misdiagnosed and underestimated in the clinic because of difficulties in distinguishing K.pneumoniae from its subspecies using routine tests.This case study reports the rapid and fatal effects of K.pneumoniae subspecies.CASE SUMMARY A 52-year-old male patient was febrile and admitted to hospital.Examinations excluded viral and fungal causes along with mycoplasma/chlamydia and parasitic infections.Bacterial cultures revealed blood-borne K.pneumoniae sensitive to carbapenem antibiotics,although corresponding treatment failed to improve the patient’s symptoms.His condition worsened and death occurred within 72 h of symptom onset from sepsis shock.Application of the PMseq-DNA Pro high throughput gene detection assay was implemented with results obtained after death showing a mixed infection of K.pneumoniae and Klebsiella variicola(K.variicola).Clinical evidence suggested that K.variicola rather than K.pneumoniae contributed to the patient’s poor prognosis.CONCLUSION This is the first case report to show patient death from Klebsiella subspecies infection within a short period of time.This case provides a timely reminder of the clinical hazards posed by Klebsiella subspecies and highlights the limitations of classical laboratory methods in guiding anti-infective therapies for complex cases.Moreover,this report serves as reference for physicians diagnosing similar diseases and provides a recommendation to employ early genetic detection to aid patient diagnosis and management.展开更多
基金supported by National Key Research and Development Program of China(2024YFB4709300)the National Natural Science Foundation of China(No.52130501,52505289)+1 种基金Zhejiang provincial teams of leading talents in Innovation and Entrepreneurship(2024R01002)Guizhou Provincial Science and Technology Projects(XKBF[2025]014,BQW[2024]010).
文摘Graphene grids exhibit exceptional loading capacity for macromolecules,single atoms,and nanoparticles,offering significant potential for exploring the structure and properties of various materials at the nanoscale.However,challenges such as carbon film rupture,contamination,and uneven graphene film coverage frequently occur during grid fabrication.Here wepropose a dual-stage deep learning model integrating U-Net and an enhanced YOLO11 architecture,enabling efficient and accurate defect detection and graphene coverage quantification.A tailored data augmentation strategy expanded the initial defect dataset by more than an order of magnitude,which directly contributed to an overall 11.72%improvement across the model’s performance metrics.With the integration of the multi-scale convolutional attention(MSCA)module and the slicing-aided hyper inference(SAHI)method,the model achieved a 0.67%mean absolute percentage error(MAPE),while reducing the average detection time from 26.6 to 0.1 min per image.The proposed model holds strong potential for extension to various material characterization image analysis tasks,providing a scalable strategy for high-throughput image processing that bridges fundamental research with industrialscale applications.
文摘Rapid,high-throughput,timely,multiplex diagnosis of respiratory-tract infections still relies on laboratory infrastructure,sequential assays,and trained personnel,thereby delaying targeted therapy and outbreak containment.In this study,a Fully Automated rotary microfluidic platform(FA-RMP)for high-throughput multiplex respiratory tract pathogens detection was presented.FA-RMP enables a true“sample-in,result-out”workflow through the integration of swab lysis,reagent partitioning,lyophilized reverse transcription loop-mediated isothermal amplification(RT-LAMP),and movingprobe fluorescence read-out,all encapsulated with a disposable microfluidic cartridge and paired with a 9 kg,fourchannel benchtop reader.The FA-RMP enables parallel processing of 16 independent reactions within 30 min,supporting simultaneous detection of up to 4 distinct clinical samples.Analytical validation using serially diluted Mycoplasma pneumoniae(MP)DNA established a limit of detection(LoD)of 50 copies μL^(-1) and a log-linear correlation between threshold time and template load(R^(2)=0.9528).Testing with eight non-target respiratory pathogens yielded no amplification,confirming high analytical specificity.FA-RMP successfully detected the clinical samples with influenza A,influenza B,and MP,further demonstrating its robust multiplex detection capability.By integrating automated sample preparation,multiplex isothermal amplification and quantitative detection into a portable,high-throughput system,the platform delivers laboratory-grade performance at the point of care,serving as a scalable tool for routine respiratory pathogens screening and rapid epidemic response.
基金Supported by Science and Technology Fund of Guizhou Provincial Health CommissionNo. gzwjkj2019-1-067+1 种基金Doctor Foundation of Guizhou Provincial People’s HospitalNo. GZSYBS[2019]04
文摘BACKGROUND Klebsiella pneumoniae(K.pneumoniae)is an infective microorganism of worldwide concern because of its varied manifestations and life-threatening potential.Genetic analyses have revealed that subspecies of K.pneumoniae exhibit higher virulence and mortality.However,infections with Klebsiella subspecies are often misdiagnosed and underestimated in the clinic because of difficulties in distinguishing K.pneumoniae from its subspecies using routine tests.This case study reports the rapid and fatal effects of K.pneumoniae subspecies.CASE SUMMARY A 52-year-old male patient was febrile and admitted to hospital.Examinations excluded viral and fungal causes along with mycoplasma/chlamydia and parasitic infections.Bacterial cultures revealed blood-borne K.pneumoniae sensitive to carbapenem antibiotics,although corresponding treatment failed to improve the patient’s symptoms.His condition worsened and death occurred within 72 h of symptom onset from sepsis shock.Application of the PMseq-DNA Pro high throughput gene detection assay was implemented with results obtained after death showing a mixed infection of K.pneumoniae and Klebsiella variicola(K.variicola).Clinical evidence suggested that K.variicola rather than K.pneumoniae contributed to the patient’s poor prognosis.CONCLUSION This is the first case report to show patient death from Klebsiella subspecies infection within a short period of time.This case provides a timely reminder of the clinical hazards posed by Klebsiella subspecies and highlights the limitations of classical laboratory methods in guiding anti-infective therapies for complex cases.Moreover,this report serves as reference for physicians diagnosing similar diseases and provides a recommendation to employ early genetic detection to aid patient diagnosis and management.
