Novel CD-MOF NIR-II fluorophores for gastric ulcer imaging

Gastric ulcers are one of the most common stomach diseases that often accompanied by inflammation, congestion, edema, scar tissue formation, and pyloric obstruction. Fiberoptic endoscopy and X-ray analysis of the upper GI tract have become the diagnostic procedure of choice for patients. However, conventional diagnosis technology is either invasive or radioactive. Herein, a novel CD-MOF NIR-II fluorophore (GPs-CH1055) was developed. The relative fluorophore intensity was largely consistent at various media and pH buffers, and it can swell into gel particles in solvents and be completely expelled from the gastrointestinal tract without being assimilated. GPs-CH1055 has been further evaluated in vivo, and exhibited strong retention effect on the gastric ulcer sites, bright NIR-II signals with high spatial and temporal resolution. Therefore, GPs-CH1055 shows great promise for realizing real-time gastric ulcer imaging and diagnosis.     

Ein neuer125J-anti-DNS-Radioimmunoassay zur Diagnostik des Lupus erythematodes disseminatus

Ohne Zusammenfassung

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A new ¹²⁵I-anti-DNA-radioimmunoassay for the diagnosis of systemic lupus erythematosus

     

基于粪便可见-近红外反射光谱的高山麝慢性肠炎诊断

提出了一种利用粪便可见-近红外反射光谱进行高山麝慢性肠炎诊断的新方法。以FieldSpec？3地物光谱仪采集了125份高山麝粪便（正常粪样70份,慢性肠炎患者粪样55份）的光谱数据,将其随机分成训练集（95份）和检验集（30份）。光谱经S.Golay平滑与一阶导数处理后以主成分分析法（PCA）降维。以前6个主成分（含原始光谱95.16%的特征信息）作为新变量,利用训练集样本,分别以模糊模式识别、BP-神经网络、Fisher线性判别以及Bayes逐步判别四种方法建立高山麝慢性肠炎的诊断模型。对检验集30个未知样的预测表明,Fisher线性判别的准确率为86.7%,模糊模式识别与BP-神经网络模型判别的准确率为90%,Bayes逐步判别的准确率最高,达93.3%。进一步分析发现所有误诊都源于将正常样误判为病样,四种方法对病样的检出率均达100%。说明利用粪便的可见-近红外反射光谱进行高山麝慢性肠炎的快速、非接触性诊断是可行的,且PCA 结合Bayes逐步判别是一种优选方法。     

锂金属电池研究中对称电池的短路现象

锂金属是具有高能量密度的负极材料,是下一代高能量密度电池研究的重点。在锂金属负极的改性研究中,锂对称电池是最常用的测试对象,但判断其短路的依据尚未统一,因此存在部分对短路数据的解析错误。本文利用原位电池对锂沉积过程中由于枝晶生长导致的短路现象进行了描述,对锂金属对称电池在充放电过程中的短路现象进行了分类和讨论。通过区分硬短路、软短路及电池活化过程,提出了判断锂对称电池中枝晶生长及电池短路的依据,为判定锂金属负极改性方法的有效性提供参考。     

直肠癌组织与直肠正常组织的荧光光谱研究

用荧光光谱仪对12例离体直肠癌组织和对应的直肠正常组织的荧光光谱(激发光的波长为320 nm)进行了研究。并与相应的红外光谱结果进行了对比。结果表明直肠正常组织的荧光强度明显高于直肠癌组织的荧光强度。直肠组织在波长为492和544 nm的荧光强度的差别可用于区分直肠正常和直肠癌组织。     

正常与癌症肺组织的傅里叶变换红外光谱差异的研究

傅里叶变换红外(FTIR)光谱可以在分子水平上研究细胞和组织等复杂的生命体系,提供分子结构和组成的信息.我们发展了一种用于直接测定肿瘤及正常组织红外光谱的方法,对16例肺癌及其癌旁正常组织进行了测定.结果表明,对于正常和癌变的肺组织,FTIR光谱中存在显著差异,相关谱带的相对峰高比可以表征这些差异.因此,傅里叶变换红外光谱可以用来诊断癌症与正常的肺组织,有望成为肿瘤快速诊断的新方法.     

Rare‐Cell Enrichment by a Rapid,Label‐Free,Ultrasonic Isopycnic Technique for Medical Diagnostics

One significant challenge in medical diagnostics lies in the development of label‐free methods to separate different cells within complex biological samples. Here we demonstrate a generic, low‐power ultrasonic separation technique, able to enrich different cell types based upon their physical properties. For malaria, we differentiate between infected and non‐infected red blood cells in a fingerprick‐sized drop of blood. We are able to achieve an enrichment of circulating cells infected by the ring stage of the parasite over nonparasitized red blood cells by between two and three orders of magnitude in less than 3 seconds (enabling detection at parasitemia levels as low as 0.0005 %). In a second example, we also show that our methods can be used to enrich different cell types, concentrating Trypanosoma in blood at very low levels of infection, on disposable, low‐cost chips.     

急性铅中毒误诊26例报告

饮用含铅锡酿酒器酿造的酒,可引起急性铅中毒,多系统损害,临床表现没有特异性,易误诊为其他疾病,误诊率高,应引起临床高度重视。     

基于深度卷积网络的多传感器信号故障诊断方法研究

针对传统故障诊断方法中多传感器数据融合技术难度大、特征提取困难等问题,提出了一种基于深度卷积网络的多传感器信号故障诊断方法,通过构建测量数据帧进行卷积计算实现多通道数据的自然融合,利用深度网络结构实现高层特征的自动提取和分类,从而高效地实现了故障分类诊断;经分别采用小规模数据集REF和大规模故障数据集BI02进行实验验证,均取得了较高的故障识别准确率,具有很强的工程应用价值。