激光光谱技术在医学中的应用

本文介绍了激光荧光光谱,拉曼光谱、反射、透射光谱、光声光谱,热透镜光谱、电离光谱、皮秒光谱等光谱技术,以及它们在医学诊断、病理研究等方面的应用,并就其发展与应用提出几点看法。     

光谱多样性在植物多样性监测与评估中的应用

光谱多样性是一种基于植物反射电磁辐射光谱的生物多样性维度, 反映了不同波段光谱反射率在植物种内与种间个体之间的变异程度。由于植物反射光谱特征的差异可以综合地反映植物间生化组分和形态特征的差异, 光谱多样性成为植物多样性监测和评估的重要技术手段。该文介绍了光谱多样性的概念及其生态学意义, 比对了多源、多平台光谱数据各自的技术优势和局限性, 并概述了基于光谱多样性的植物多样性监测和评估方法及其应用, 探讨了光谱多样性整合不同维度生物多样性的能力, 展望了光谱多样性在生物多样性研究中的发展前景。光谱多样性能在多空间尺度服务于植物多样性的监测与评估, 特别是依托基于无人机技术的近地面遥感, 可以实现精细尺度植物多样性的监测与评估, 在生物多样性的保护和管理中具有广阔的应用前景。     

基于高光谱的苹果果期冠层光谱特征及其果量估测

苹果冠层光谱特征是苹果树遥感生理监测和生产管理的重要依据。对栖霞市苹果果期的冠层反射光谱进行实测,结合数码照相技术探明了苹果果期的反射光谱特性和敏感波段,并通过敏感波段与果树比指标建立回归模型,实现了对苹果冠层果量(果树比)的无损估测。结果表明:苹果树果期冠层光谱曲线总体表现为对蓝光和红光的吸收及对绿光的反射,在近红外750—1300nm之间表现为强烈的反射,且在1650nm和2200nm附近呈现两个反射峰。选择435、670、730、940、1140nm和1480nm等6个波段为苹果果期的敏感波段。利用这些波段分别构建了差值、比值及归一化植被指数,筛选了最佳光谱参数,进而构建了果量(果树比)估测模型,经筛选验证确定苹果果量的最佳估测模型为:y=0.0086[NDVI(940,730)]2-1.0934NDVI(940,730)+0.3209。模型为苹果果期果量的精确估测提供了比较快捷的方法途径。     

基于光谱特征和HSV变换融合MODIS影像的滇池叶绿素a浓度监测

使用实测高光谱数据,研究滇池水体的光谱特征,应用统计方法建立滇池叶绿素a浓度的高光谱反演模型,并基于滇池水体的光谱特征,运用HSV变换融合遥感影像技术,监测水体叶绿素a浓度分布。结果表明:滇池水体光谱的反射峰位于550和700nm附近;此2个反射峰的位置和大小对水体叶绿素a浓度的变化反应最敏感。随着水体叶绿素a浓度升高,2个反射峰的峰值越接近,同时,550nm附近反射峰向短波方向偏移,而700nm附近反射峰向长波方向偏移。用这2个反射峰峰值的差值作为参数建立的滇池水体叶绿素a浓度估测模型,其精度较高;HSV变换融合MODIS遥感影像的假彩色合成图能直观反演滇池水体叶绿素a浓度的空间分布。     

植物反射光谱对水分生理变化响应的研究进展

实时、无损伤地探测植物的水分及生理变化是高光谱遥感的深层次应用。由水分胁迫引发的植物一系列反射光谱响应体现了碳-氮-水耦合作用的结果。以往的研究大多集中于单一因素的响应, 而忽略了多因素交互作用。该文综述和分析了植物水分状况变化引起的直接和间接光谱响应机制, 包括植物水分含量、色素、养分状况、光合作用和叶绿素荧光指标的光谱响应及其内在的关联, 探讨了反射光谱在探测植物水分生理活动应用中的主要方法与最新技术, 并指出碳-氮-水多指标、多时空尺度的综合分析对于估测植被生产力及其对气候变化的响应具有重要意义。     

基于光谱信息的作物氮素营养无损监测技术

氮素是作物生长发育和产量品质形成所必需的营养元素。快速、无损、准确地监测作物氮素状况,对于诊断作物生长特征、提高氮肥运筹水平和利用效率、降低过量施氮带来的农田环境污染,深入开展精确农业和数字农业的研究与应用具有重要意义。本文围绕作物氮素特征光谱产生的机制、反射光谱对氮素营养的响应及光谱指数的生理意义等解析了作物氮素营养光谱无损监测的技术机理,阐明了作物氮素监测的光谱学和生理生态学基础,进而概述了国内外有关作物反射光谱获取及叶片、冠层和空间水平上氮素营养光谱监测的研究进展。针对作物氮素营养监测亟待解决的问题和作物生产需求,提出今后进一步研究的领域应重点围绕氮素生化组分的监测方法、氮素监测模型的普适性、氮素监测仪的开发、地空遥感信息的融合、遥感与其他技术的集成等方面。     

生育阶段小麦冠层的反射光谱特征及其模糊聚类的研究

测量不同生育阶段小麦冠以反射光谱,并使用傅叶滤波及导数法信号处理技术对反射光谱进行处理,找出能最有效区分作物不同生育阶段的波长和波段,用这些波长和波段对应的反射率为指标,用模糊聚类（ＦＣＡ）的方法对不同生育阶段小麦进行区分。     

自体荧光技术在早期肠癌诊断中的应用

自体荧光技术以无损、实时、灵敏度高等优点已成为早期肠癌诊断应用的技术之一。本文总结了自体荧光光谱技术在早期肠癌诊断应用中的研究进展,重点阐述了荧光激发波长的选择,荧光光谱数据处理方法,以及正常和癌变肠道组织光谱差异的来源。在分析肠道组织中内源性荧光物质及其分布的基础上,回顾了自体荧光成像系统的临床应用进展。最后指出自体荧光光谱与成像技术在早期肠癌诊断中的应用和发展趋势。     

土壤镉污染对水稻叶片光谱反射特性的影响

水稻移栽于添加不同量镉(50、100、200和400 ppm)的土壤上,叶片反射光谱特性发生变化:可见光区反射率增加,其中550—680nm波段反射率的增加更突出;反射光谱的一次微分图和二次微分图上叶绿素吸收边缘明显蓝移。这些变化以分蘖期最为显著。镉害水稻可见光区反射特性的变化与叶片中叶绿素含量的降低相一致。初步确定几个波段可用于区分镉毒害的和正常的水稻的光谱反射特性。     

棉花冠层高光谱参数与叶片氮含量的定量关系

建立棉花(Gossypium hirsutum)氮素状况的光谱监测技术对于棉花营养诊断和长势估测具有重要意义。该研究利用冠层高光谱反射率及演变的多种高光谱参数,分析了不同施氮水平下不同棉花品种叶片氮含量与冠层反射光谱的定量关系,建立了棉花叶片氮含量的敏感光谱参数及预测方程。结果显示,棉花叶片氮含量和冠层高光谱反射率随不同施氮水平呈显著变化。棉花叶片氮含量的敏感光谱波段为600~700 nm的可见光波段和750~900 nm的近红外波段,且叶片氮含量与比值植被指数RVI [average (760~850), 700]有密切的定量关系,4个品种的平均决定系数在0.70左右。进一步分析表明,可以用统一的回归方程来描述不同品种、不同生育时期和不同氮素水平下棉花叶片氮含量随反射光谱参数的变化模式,从而为棉花氮素营养的监测诊断与精确施肥提供技术依据。     

近红外光谱技术在猫脑射频热凝毁损中的应用研究

目的：探索近红外光谱（nears）技术用于立体定向靶点毁损术中实时监测的可行性。方法：利用猫脑建立体内不同毁损时间、温度下的毁损灶体积模型,通过病理检测及近红外光谱仪观察并记录脑组织靶点毁损时的NIRS尤其是优化散射系数（）的变化情况。结果：不同温度、不同时间温度点下NIRS出现特征性变化曲线。并建立时间、温度及三维模型。结论：利用NIRS实时活体在位监测猫脑射频神经核团毁损术是科学、可行的,优化散射系数是监测的良好指标,比以往单凭经验的作法更科学、更准确。     

近红外光谱技术在猫脑射频热凝毁损中的应用研究

目的:探索近红外光谱(nears)技术用于立体定向靶点毁损术中实时监测的可行性。方法:利用猫脑建立体内不同毁损时间、温度下的毁损灶体积模型,通过病理检测及近红外光谱仪观察并记录脑组织靶点毁损时的NIRS尤其是优化散射系数()的变化情况。结果:不同温度、不同时间温度点下NIRS出现特征性变化曲线。并建立时间、温度及三维模型。结论:利用NIRS实时活体在位监测猫脑射频神经核团毁损术是科学、可行的,优化散射系数是监测的良好指标,比以往单凭经验的作法更科学、更准确。     

基于低场核磁共振T1-T2谱技术定性和定量分析罗非鱼各组织的方法探究

形体指标的检测是鱼类常规营养评定的重要组成部分。目前,分析鱼类组织体重比的方法会对鱼体造成损伤,且取样过程复杂,迫切需要无损快速检测技术分析鱼体组织占比。低场核磁共振技术具有快速无损检测的特点,已有研究利用低场核磁共振T1谱技术检测小鼠内脂肪组织体积,但尚未有研究应用低场核磁共振T1-T2谱技术对鱼类各组织器官进行定性和定量分析。基于此,利用低场核磁共振T1-T2谱技术,将分离后的罗非鱼的肌肉组织、腹腔脂肪组织、肝脏组织、肠道组织单独以及混合后进行扫描分析,结果发现利用低场核磁共振T1-T2谱技术可以分离罗非鱼肌肉组织和腹腔脂肪组织,但是无法区分肝脏组织和肠道组织。进一步对能够实现分离的肌肉组织和脂肪组织建立定量分析的模型,分析罗非鱼组织信号强度与组织重量相关性,结果显示,肌肉组织相关性R2=0.974 3,腹腔脂肪组织相关性R2=0965 0。并利用罗非鱼活体验证了肌肉组织定量分析模型的可靠性,将活体扫描肌肉信号大小转换成肌肉组织重量并分析其与全鱼体重相关性,结果显示肌肉组织重量与体重相关性R2=0.806 9。研究表明,在鱼类营养代谢研究中,可以利用低场核磁共振T1-T2谱技术快速无损地定量分析鱼体内肌肉组织含量。     

Combining near-infrared-excited autofluorescence and Raman spectroscopy improves in vivo diagnosis of gastric cancer

This study aims to evaluate the diagnostic utility of the combined near-infrared (NIR) autofluorescence (AF) and Raman spectroscopy for improving in vivo detection of gastric cancer at clinical gastroscopy. A rapid Raman endoscopic technique was employed for in vivo spectroscopic measurements of normal (n=1098) and cancer (n=140) gastric tissues from 81 gastric patients. The composite NIR AF and Raman spectra in the range of 800-1800 cm(-1) were analyzed using principal component analysis (PCA) and linear discriminant (LDA) to extract diagnostic information associated with distinctive spectroscopic processes of gastric malignancies. High quality in vivo composite NIR AF and Raman spectra can routinely be acquired from the gastric within 0.5s. The integrated intensity over the range of 800-1800 cm(-1) established the diagnostic implications (p=1.6E-14) of the change of NIR AF intensity associated with neoplastic transformation. PCA-LDA diagnostic modeling on the in vivo tissue NIR AF and Raman spectra acquired yielded a diagnostic accuracy of 92.2% (sensitivity of 97.9% and specificity of 91.5%) for identifying gastric cancer from normal tissue. The integration area under the receiver operating characteristic (ROC) curve using the combined NIR AF and Raman spectroscopy was 0.985, which is superior to either the Raman spectroscopy or NIR AF spectroscopy alone. This work demonstrates that the complementary Raman and NIR AF spectroscopy techniques can be integrated together for improving the in vivo diagnosis and detection of gastric cancer at endoscopy.     

基于电阻抗扫描的乳腺组织阻抗频谱特性测量实验

为了研究乳腺组织电导率特性及肿瘤生长方式对电阻抗扫描(electrical impedance scanning,EIS)肿瘤成像特征的影响,作者对照分析了69例乳腺肿瘤患者的EIS成像、X线钼靶摄影及离体乳腺组织的阻抗频谱特性。实验得到了40例恶性肿瘤、34例良性肿瘤、49例腺体组织和41例脂肪组织的离体电阻率特性,其中腺体组织和良性肿瘤的电阻率数值最小,其次是癌组织,脂肪组织的电阻率数值最大。恶性肿瘤中EIS检查24例高亮表现,11例暗区表现,5例无表现;良性肿瘤EIS检查多数无特征表现。实验表明,癌组织与其周围正常组织的电导率有显著性差异。因恶性肿瘤浸润组织的不同,组织间的电导率差异会出现正向或负向变化,EIS检查表现出亮、暗不同的特征成像。良性肿瘤的电导率较好,但其与周围组织电导率差异无统计学意义,EIS检查无显著成像。     

Localized proton magnetic resonance spectroscopy of lipids in adipose tissue at high spatial resolution in mice in vivo

We describe a localized proton magnetic resonance spectroscopy ((1)H-MRS) method for in vivo measurement of lipid composition in very small voxels (1.5 mm x 1.5 mm x 1.5 mm) in adipose tissue in mice. The method uses localized point-resolved spectroscopy to collect (1)H spectra from voxels in intra-abdominal white adipose tissue (WAT) and brown adipose tissue (BAT) deposits. Nonlinear least-squares fits of the spectra in the frequency domain allow for accurate calculation of the relative amount of saturated, monounsaturated, and polyunsaturated fatty acids. All spectral data are corrected for spin-spin relaxation. The data show BAT of NMRI mice to be significantly different from BAT of NMRI nu/nu mice in all aspects except for the fraction of monounsaturated fatty acids (FM); for WAT, only the FM is different. BAT and WAT of NMRI mice differ in the amount of saturated and di-unsaturated fatty acids. This method provides a potential tool for studying lipid metabolism in small animal models of disease during the initiation, progression, and manifestation of obesity-related disorders in vivo. Our results clearly demonstrate that localized (1)H-MRS of adipose tissue in vivo is possible at high spatial resolution with voxel sizes down to 3.4 ml.     

Investigation of adipose tissues in Zucker rats using in vivo and ex vivo magnetic resonance spectroscopy

In vivo single-voxel magnetic resonance spectroscopy (MRS) at 4.7T and ex vivo high-resolution proton magnetic resonance spectroscopy (HR-NMR) at 500 MHz were used to study the composition of adipose tissues in Zucker obese and Zucker lean rats. Lipid composition was characterized by unsaturation and polyunsaturation indexes and mean chain lengths. In vitro experiments were conducted in known mixtures of triglycerides and oils in order to validate the method. To avoid inaccuracies due to partial peak overlapping in MRS, peak quantification was performed after fitting of spectral peaks by using the QUEST algorithm. The intensity of different spectral lines was also corrected for T2 relaxation. Albeit with different sensitivity and accuracy, both techniques revealed that white adipose tissue is characterized by lower unsaturation and polyunsaturation indexes in obese rats compared with controls. HR-NMR revealed similar differences in brown adipose tissue. The present findings confirm the hypothesis that obese and lean Zucker rats have different adipose tissue composition.     

Dielectric spectroscopy for noninvasive examination of corneal tissue]

Dielectric spectroscopy is a non-invasive contact technique that permits the in vivo measurement of the specific electrical properties of biological tissue induced by an external electrical field. Permittivity, relaxation time and specific conductivity as a function of corneal hydration (wet weight/dry weight) and temperature were measured in 10 porcine corneas. Variation of tissue hydration has a minor influence on the signal, with a significant variation of the signal being detectable only for relatively dry tissue. A much greater influence was found for temperature, in particular on relaxation times. Dielectric spectroscopy provides us with an opportunity to detect structural, in particular temperature-induced, changes in living tissue. In the frequency range investigated, hydration has only a small influence on the dielectric properties of the tissue.     

Optical spectroscopy for detection of neoplasia

Fluorescence and reflectance spectroscopy provide the ability to assess tissue structure and metabolism in vivo in real time, providing improved diagnosis of pre-cancerous lesions. Reflectance spectroscopy can probe changes in epithelial nuclei that are important in pre-cancer detection, such as mean nuclear diameter, nuclear size distribution and nuclear refractive index. Fluorescence spectroscopy can probe changes in epithelial cell metabolism, by assessing mitochondrial fluorophores, and epithelial-stromal interactions, by assessing the decrease in collagen crosslink fluorescence that occurs with pre-cancer. Thus, fluorescence and reflectance spectroscopy provide complementary information useful for pre-cancer diagnosis. Tissue engineering provides three-dimensional cell cultures that can be used to further explore the relationship between tissue structure and biological events important in cancer development and progression. In the future, improving our understanding of the biological changes that can be assessed using spectroscopy will not only improve optical techniques but also provide new tools to better understand cancer biology.     

Magnetic resonance imaging of organic contrast agents in mice: capturing the whole-body redox landscape

Nitroxides are a class of stable free radicals that have several biomedical applications including radioprotection and noninvasive assessment of tissue redox status. For both of these applications, it is necessary to understand the in vivo biodistribution and reduction of nitroxides. In this study, magnetic resonance imaging was used to compare tissue accumulation (concentration) and reduction of two commonly studied nitroxides: the piperidine nitroxide Tempol and the pyrrolidine nitroxide 3-CP. It was found that 3-CP was reduced 3 to 11 times slower (depending on the tissue) than Tempol in vivo and that maximum tissue concentration varies substantially between tissues (0.6-7.2mM). For a given tissue, the maximum concentration usually did not vary between the two nitroxides. Furthermore, using electron paramagnetic resonance spectroscopy, we showed that the nitroxide reduction rate depends only weakly on cellular pO(2) in the oxygen range expected in vivo. These observations, taken with the marked variation in nitroxide reduction rates observed between tissues, suggest that tissue pO(2) is not a major determinant of the nitroxide reduction rate in vivo. For the purpose of redox imaging, 3-CP was shown to be an optimal choice based on the achievable concentrations and bioreduction observed in vivo.