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Fundamental characteristics of remote plasmonic-enhanced Raman spectroscopy without close contact between analyte and metallic nanostructure 分析物与金属纳米结构无密切接触的远端等离子体增强拉曼光谱的基本特征
S. Inoue, Hiroki Tanioka, Takeshi Yasui, Y. Morimoto, M. Kawasaki, M. Kawasaki, T. Minamikawa
Raman spectroscopy is a technique that can visualize various molecular information noninvasively without the need for invasive pretreatment of samples such as staining. However, Raman scattering light is very weak, and thus Raman spectroscopy has limitations in terms of molecular sensitivity and measurement time. One solution to overcome the problem of weak signal intensity is optical enhancement based on the plasmon resonance effect. Surface-enhanced Raman scattering (SERS) spectroscopy enables highly sensitive Raman spectroscopy owing to the enhancing near-field produced by plasmon resonance. This enhancing field is formed in an area of about 10 nm around the metallic nanostructures. However, the direct contact between the metallic nanostructures and the analyte molecules causes denaturation of the metallic nanostructures and the analyte molecules themselves, limiting the Raman spectroscopic analysis and its applications. In the present study, we developed a remote plasmonic enhancement (RPE) method, which is expected to provide a high enhancement by plasmon-molecule remote coupling via a silica columnar structure of several tens nm in size to a metallic nanostructure. We demonstrated that the RPE could be applied to Raman spectroscopy (RPERS, remote plasmonic-enhanced Raman spectroscopy). We have confirmed the high enhancement of more than 104 by RPERS and clarified the fundamental characteristics of the RPERS.
拉曼光谱是一种无需对样品进行染色等侵入性预处理,即可无创地可视化各种分子信息的技术。然而,拉曼散射光非常微弱,因此拉曼光谱在分子灵敏度和测量时间方面存在局限性。克服弱信号强度问题的一种解决方案是基于等离子体共振效应的光学增强。由于等离子体共振产生的近场增强,表面增强拉曼散射(SERS)光谱实现了高灵敏度的拉曼光谱。该增强场形成于金属纳米结构周围约10nm的区域内。然而,金属纳米结构与被分析物分子的直接接触导致金属纳米结构和被分析物分子本身发生变性,限制了拉曼光谱分析及其应用。在本研究中,我们开发了一种远程等离子体增强(RPE)方法,该方法有望通过几十纳米尺寸的二氧化硅柱状结构向金属纳米结构提供等离子体-分子远程耦合的高增强。我们证明了RPE可以应用于拉曼光谱(RPERS,远程等离子体增强拉曼光谱)。我们已经确认了超过104个区域的RPERS有很高的提高,并阐明了RPERS的基本特征。
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引用次数: 0
Improvement by localized surface plasmon resonance enhancement from Ag nanoparticles in Si-based photodetector 银纳米粒子局部表面等离子体共振增强对硅基光电探测器性能的改进
Yaobin Dong, Zih-Chun Su, Bo Chen, Yi-Long Chen, Du-Ting Cheng, Kun-Rong Lin, Ching-Fuh Lin
Localized surface plasmon resonance (LSPR) from metal nanoparticles (NPs) has been widely applied to enhance the performance of photodetectors and has been studied by many groups. Due to the limitation of the bandgap, silicon-based (Si-based) devices encounter challenges in sensing infrared region. To overcome this issue, this study discusses how the silver (Ag) NPs to modify Si-based Schottky photodetectors and enhance mid-infrared (MIR) responsivity via rapid thermal annealing (RTA) process by inducing LSPR when illuminating. Under an incident light source at 3460 nm wavelength, the responsivity of the device annealing at 175°C is increased from 0.4481 mA/W to 0.6872 mA/W, which is enhanced 1.533 times compared to device without annealing. In addition, using COMSOL software for electric field intensity simulation confirms that Ag NPs can indeed enhance the electric field intensity to increase the induced LSPR. Therefore, it is demonstrated that the response signal of MIR can be enhanced and amplified by Ag NPs in Schottky devices under the same measurement conditions, achieving the ability to detect MIR region in Si-based Schottky devices.
金属纳米粒子的局部表面等离子体共振(LSPR)被广泛应用于提高光电探测器的性能,并得到了许多研究小组的研究。由于带隙的限制,硅基(Si-based)器件在红外区传感方面遇到了挑战。为了克服这一问题,本研究讨论了银(Ag) NPs如何在照明时通过诱导LSPR,通过快速热退火(RTA)工艺修饰si基肖特基光电探测器,并提高中红外(MIR)响应性。在3460 nm入射光源下,175℃退火器件的响应度从0.4481 mA/W提高到0.6872 mA/W,比未退火器件提高了1.533倍。此外,利用COMSOL软件进行电场强度模拟,证实了Ag NPs确实可以通过增强电场强度来提高感应LSPR。因此,在相同的测量条件下,在肖特基器件中,Ag纳米粒子可以增强和放大MIR的响应信号,从而实现在si基肖特基器件中检测MIR区域的能力。
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引用次数: 0
SERS biosensing of sickle cell hemoglobin from normal hemoglobin 镰状细胞血红蛋白与正常血红蛋白的SERS生物传感
Sara Abbasi, Bastián Carnero Groba, I. Weets, Qing Liu, F. Ferranti, H. Ottevaere
Hemoglobinopathies are the most common genetic disorders caused by a mutation in the genes encoding for one of the globin chains and leading to structural (hemoglobin [Hb] variants) or quantitative defects (thalassemias) in hemoglobin. Early diagnosis and characterization of hemoglobinopathies are essential to avoid severe hematological consequences in the offspring of healthy carriers of a mutation. Despite being extensively studied, hemoglobinopathies continue to provide a diagnostic challenge. Sickle-cell hemoglobin (HbS) is the most common and clinically significant hemoglobin variant among all Hb variants. To overcome the challenge of diagnosing Hb variants, we propose the use of Surface-Enhanced Raman Spectroscopy (SERS). SERS is a powerful label-free tool for providing fingerprint structural information of analyses. It can rapidly generate the spectral signature of samples. This study investigates the structural differences between HbS and normal Hb using gold nanopillar SERS substrates with a leaning effect. The SERS spectra of Hb variants showed subtle spectral differences between HbS and normal Hb located in the valine (975 cm-1) and glutamic acid (1547 cm-1) band, reflecting the amino acid substitution in the HbS β-globin chain. We also automated the identification of HbS and normal Hb with principal component analysis (PCA) combined with support vector machine (SVM) and linear discriminant analysis (LDA) classifiers, leading to an accuracy of 98% and 96%, respectively. This study demonstrated that SERS can provide a fast, highly sensitive, noninvasive, and accurate detection module for the diagnosis of Sickle-cell disease and potentially other hemoglobinopathies.
血红蛋白病是最常见的遗传性疾病,由编码其中一条珠蛋白链的基因突变引起,导致血红蛋白的结构(血红蛋白[Hb]变异)或数量缺陷(地中海贫血)。早期诊断和表征血红蛋白病是必不可少的,以避免严重的血液学后果的后代健康的突变携带者。尽管被广泛研究,血红蛋白病继续提供诊断挑战。镰状细胞血红蛋白(HbS)是所有Hb变异中最常见且具有临床意义的血红蛋白变异。为了克服诊断Hb变异的挑战,我们建议使用表面增强拉曼光谱(SERS)。SERS是一个功能强大的无标签工具,用于提供分析的指纹结构信息。它可以快速生成样品的光谱特征。本研究利用具有倾斜效应的金纳米柱SERS衬底,研究了HbS与正常Hb的结构差异。Hb变异体的SERS光谱显示HbS与正常Hb在缬氨酸(975 cm-1)和谷氨酸(1547 cm-1)波段存在细微的光谱差异,反映了HbS β-球蛋白链上的氨基酸取代。我们还使用主成分分析(PCA)结合支持向量机(SVM)和线性判别分析(LDA)分类器自动识别HbS和正常Hb,准确率分别达到98%和96%。本研究表明,SERS可以为镰状细胞病和其他潜在的血红蛋白病的诊断提供快速、高灵敏度、无创、准确的检测模块。
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引用次数: 0
Impact of UV-ozone (UVO) treatment on optical and electrical properties of RF sputtered Ga2O3 thin films for opto-electronic application uv -臭氧(UVO)处理对射频溅射Ga2O3薄膜光电性能的影响
M. Mishra, R. Saha, S. Bhowmick, Subhananda Chakrabarti
Ga2O3 has established to be a promising material for deep UV and UV optoelectronics and sensing applications. However, a major drawback of Ga2O3 thin film based optoelectronic devices is the existence of native point defects which can result in the creation of sub-bandgap absorption, carrier scattering centres, and leakage channels and becomes an obstruction to their efficient device applications. To overcome this high temperature annealing processes are required which not only leads to a rise in the thermal budget but also put many fabrication and technological bounds in device fabrication. Therefore, in this work we report room temperature ultraviolet-ozone (UVO) annealing as a facile and cost-effective method which can control defect states and improve the optical efficiency of Ga2O3 thin film. The Ga2O3 thin films were deposited by radio frequency (RF) sputtering technique on p-Si at room temperature. The grown films were subsequently subjected to UV-Ozone (UVO) annealing for 30, 50, 70, and 90 min at room temperature. The atomic force microscopy result shows the impacts of UV-Ozone (UVO) annealing time on the film roughness which further associated with reduced oxygen vacancies (Vo) concentration. Optimum time of UVO annealing for Ga2O3 thin films was estimated to be 50 min. Finally, the variation in current-voltage (I-V) characteristics of Ga2O3/p-Si heterojunctions are estimated to understand the effect UVO annealing on its electrical properties of RF sputtered Ga2O3 thin film.
Ga2O3已成为深紫外和紫外光电子学和传感应用的有前途的材料。然而,基于Ga2O3薄膜的光电器件的一个主要缺点是存在原生点缺陷,这可能导致亚带隙吸收,载流子散射中心和泄漏通道的产生,并成为其有效应用的障碍。为了克服这种高温退火工艺,这不仅导致热预算的增加,而且在器件制造中提出了许多制造和技术限制。因此,在这项工作中,我们报道了室温紫外臭氧(UVO)退火是一种简单而经济的方法,可以控制缺陷状态并提高Ga2O3薄膜的光学效率。采用射频溅射技术在p-Si表面制备了Ga2O3薄膜。生长的薄膜随后在室温下进行uv -臭氧(UVO)退火30,50,70和90min。原子力显微镜结果表明,uv -臭氧(UVO)退火时间对薄膜粗糙度的影响进一步与氧空位(Vo)浓度的降低有关。估计Ga2O3薄膜的最佳UVO退火时间为50 min。最后,估计了Ga2O3/p-Si异质结的电流-电压(I-V)特性的变化,以了解UVO退火对射频溅射Ga2O3薄膜电性能的影响。
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引用次数: 0
Enhancement of NIR emission varying thulium of ZrO2:2Yb3+-xTm3+ nanoparticles by sonochemical method 声化学法增强ZrO2:2Yb3+-xTm3+纳米粒子的近红外发射
A. Herrera-Rodríguez, T. López-Luke, G. Ramírez-García, Andrea Ceja-Fdez, Salvador Barrientos, Víctor Hugo Romero Arellano, J. Zárate-Medina
In this research, Yb3+ -Tm3+ co-doped ZrO2 nanoparticles (ZrO2:2Yb3+ -xTm3+; x=0.0125, 0.025, 0.05, 0.1, and 0.2 mol%) were synthesized using ethylenediamine and Pluronic F-127® as precipitating and surfactant agents, respectively, through a sonochemical method assisted by hydrothermal treatment and subsequent annealing as an innovative, simple, and fast route. Structural, morphological, and chemical characterization was determined by XRD, SEM, and FT-IR. The photoluminescent characterization was performed using a spectrometer with an excitation wavelength of 975 nm. The SEM technique confirms the formation of spherical and semispherical nanoparticles dispersed of sizes less than 110 nm. Furthermore, XRD results proved that the solids have monoclinic and tetragonal crystalline structure for undoped ZrO2 and the tetragonal phase was stabilized with Yb3+ -Tm3+ co-doped ZrO2. At the same time, FT-IR spectroscopy showed the functional groups corresponding to –OH residual, C-H, and C=C bonds due to surfactant agent remand and metallic oxide bonding of Zr-O, corresponding to the tetragonal crystal structure, principally. On the other hand, photoluminescent characterization exhibited upconversion (UC) emissions at 488, 656, and 800 nm due to 1G4→3H6, 1G4→3F4, and 3H4→3H6 transitions of Tm3+, respectively. These emissions increase in intensity due to the increment of Tm3+ concentration until 0.1mol%; lower and higher to this concentration, the photoluminescent intensity decrease. ZrO2:2Yb3+ -0.1Tm3+ nanoparticles showed the highest enhancement (144%) at 800 nm concerning the ZrO2:2Yb3+ -0.0125Tm3+ sample.
在本研究中,Yb3+ -Tm3+共掺杂ZrO2纳米粒子(ZrO2: 2yb3 + -xTm3+;x=0.0125, 0.025, 0.05, 0.1和0.2 mol%)分别以乙二胺和Pluronic F-127®为沉淀剂和表面活性剂,通过声化学方法辅助水热处理和随后的退火合成,这是一种创新,简单,快速的途径。通过XRD, SEM和FT-IR对其进行了结构,形态和化学表征。利用激发波长为975 nm的光谱仪进行光致发光表征。扫描电镜技术证实了球形和半球形纳米颗粒的形成,分散尺寸小于110 nm。此外,XRD结果表明,未掺杂ZrO2的固体具有单斜晶和四方晶结构,Yb3+ -Tm3+共掺杂ZrO2后,四方晶相稳定。同时,FT-IR光谱显示了表面活性剂残馀形成的-OH残馀、C- h、C=C键和Zr-O的金属氧化物成键所对应的官能团,主要为正方晶体结构。另一方面,由于Tm3+的1G4→3H6、1G4→3F4和3H4→3H6跃迁,Tm3+在488、656和800 nm处表现出上转换(UC)发射。当Tm3+浓度达到0.1mol%时,排放强度随浓度的增加而增加;该浓度越低,光致发光强度越低。ZrO2:2Yb3+ -0.0125Tm3+样品在800 nm处的增强幅度最大(144%)。
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引用次数: 0
HgTe colloidal quantum dot tripods for infrared photodetection 用于红外光探测的胶体量子点三脚架
Shea Sanvordenker, Jungchul Noh, Jamie Howell, R. Pimpinella, B. Korgel
Mercury telluride (HgTe) nanocrystal quantum dot-based infrared photodetectors provide a low-cost alternative to mercury cadmium telluride (MCT) bulk alloy devices made through epitaxial growth methods. The size-tunable optical properties of HgTe colloidal quantum dots (CQDs) make it possible to synthetically target a range of absorption edge wavelengths encompassing the infrared region. In this work, we report the synthesis of HgTe CQDs with high aspect ratios using solution-based colloidal techniques. The radial diameter of the arms of tripodal HgTe CQDs can be adjusted between 3 and 7 nm, with corresponding decreases in aspect ratios (arm length/radial diameter) from six to two, respectively. Tripodal HgTe CQDs exhibit room temperature photoconductivity with optical response ranging from the short wavelength infrared (SWIR) to mid-wavelength infrared (MWIR) spectral region, with optical cutoffs increasing from 1.7 to 3.5 µm with increasing CQD arm diameter. These tripodal HgTe CQDs with high aspect ratios exhibit relatively strong photoconductivity response and are promising for CQD-based infrared photodetectors.
碲化汞(HgTe)纳米晶体量子点红外光电探测器为通过外延生长方法制造的碲化汞镉(MCT)体合金器件提供了一种低成本的替代方案。HgTe胶体量子点(CQDs)的尺寸可调光学特性使其能够综合瞄准包括红外区域在内的吸收边缘波长范围。在这项工作中,我们报告了使用基于溶液的胶体技术合成具有高纵横比的HgTe CQDs。三脚架HgTe cqd臂的径向直径可以在3 ~ 7 nm之间调节,臂长/径向直径的纵横比分别从6减小到2。三脚架HgTe CQD具有室温光导电性,光响应范围从短波红外(SWIR)到中波红外(MWIR)光谱区域,随着CQD臂直径的增加,光截止点从1.7µm增加到3.5µm。这些具有高纵横比的三脚架HgTe cqd具有相对较强的光电导率响应,有望用于基于cqd的红外光电探测器。
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引用次数: 0
FeFET device structure design and analysis for low power circuit applications FeFET器件结构设计及低功耗电路应用分析
Mandeep Singh, T. Chaudhary, B. Raj
This paper discusses the analysis of FeFET for low-power applications. The persistent scaling of computer capacity is necessary to handle the data's rapidly rising volume and complexity. CMOS technology's opportunities are shrinking as transistor size reduction approaches physical constraints. The new nanotechnologies have ability to replace the currently used CMOS and other technologies in energy-efficient computer devices. For information systems, ferroelectric FETs (FeFETs) are a potential candidate to continue improving power consumption. The FeFET analysis is carried out by evaluating drain current, transconductance, electric field, acceptor concentrations, and electric potential. Due to their energy, area efficiency and combined logic-memory functions, FeFETs, at the edge of semiconductor technology, are capable of meeting the requirements of integrated data computer applications. The proposed FeFET device has high ON current and small OFF current. The device exhibits a sub-threshold slope of 9.3 mV/dec, and the threshold voltage of 0.26 V. The proposed structure of FeFET is designed and simulated using the Silvaco TCAD tool. Proposed FeFET devices provides high-density and low-power circuit applications and would act as a promising candidate for the scientific and research community working in this area.
本文讨论了低功率应用中效应场效应管的分析。计算机容量的持续扩展对于处理快速增长的数据量和复杂性是必要的。由于晶体管尺寸缩小接近物理限制,CMOS技术的机会正在缩小。新的纳米技术有能力取代目前使用的CMOS和其他技术在节能计算机设备。对于信息系统,铁电场效应管(fefet)是一个潜在的候选人,以继续提高功耗。效应场效应分析是通过评估漏极电流、跨导、电场、受体浓度和电势来进行的。由于其能量,面积效率和组合的逻辑存储功能,效应场效应管,在半导体技术的边缘,能够满足集成数据计算机应用的要求。该器件具有高导通电流和小关断电流。该器件的亚阈值斜率为9.3 mV/dec,阈值电压为0.26 V。利用Silvaco TCAD工具对所提出的ffet结构进行了设计和仿真。提出的ffet器件提供高密度和低功耗电路应用,并将作为在该领域工作的科学和研究界的有前途的候选人。
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引用次数: 0
Investigation on the impact of spin current profile on the write time of SOT MRAMs 自旋电流分布对SOT存储器写入时间影响的研究
Nahid Haque Shazon, Piyush Kumar, A. Naeemi
In this work, we quantify the non-uniformity in the spin current density generated by spin-orbit torque (SOT) at the nanoscale and its impact on the switching of SOT magnetic random-access memories (MRAMs). In recent years, SOTMRAMs have emerged as promising non-volatile candidates for last-level (L3/L4) cache due to their high endurance, sufficiently low read/write latency, long retention times, and scalability. In these devices, a conduction current is passed through the non-magnetic (NM) layer, which generates a spin current flowing towards the ferromagnetic (FM) layer due to the Spin Hall Effect (SHE). Using conventional drift-diffusion models, which consider the electric current distribution to be uniform within the FM and NM layers, can lead to erroneous results in the case of nanoscale devices. In this paper, we use the spin current distribution calculated based on finite element simulations and drift-diffusion equations in micromagnetic simulation. We demonstrate that spin current density can be significantly lower at the two edges of the magnet compared to the middle and this non-uniformity can affect the magnet switching dynamics. We investigate the impact of this non-uniformity for both perpendicular magnetic anisotropy (PMA) and in-plane magnetic anisotropy (IMA) based magnetic tunnel junctions (MTJs). Our results show that when resistive NM layers are used, the impact of nonuniform spin current density on write times is more significant for larger FMs. In addition, the variation in write times is more significant in the case of PMA FM than IMA FM.
在这项工作中,我们量化了纳米尺度下自旋轨道转矩(SOT)产生的自旋电流密度的不均匀性及其对SOT磁性随机存取存储器(mram)开关的影响。近年来,由于sotmram具有高耐用性、足够低的读/写延迟、长保留时间和可扩展性,因此sotmram已成为最后一级(L3/L4)缓存的有前途的非易失性候选者。在这些器件中,传导电流通过非磁性(NM)层,由于自旋霍尔效应(SHE),产生自旋电流流向铁磁性(FM)层。传统的漂移扩散模型认为FM和NM层内的电流分布是均匀的,在纳米级器件的情况下,这种模型可能导致错误的结果。本文将基于有限元模拟和漂移扩散方程计算的自旋电流分布用于微磁模拟。我们证明了自旋电流密度在磁体的两端明显低于中间,这种不均匀性会影响磁体的开关动力学。我们研究了这种不均匀性对垂直磁各向异性(PMA)和基于平面磁各向异性(IMA)的磁隧道结(MTJs)的影响。我们的研究结果表明,当使用电阻NM层时,非均匀自旋电流密度对写入时间的影响对于较大的FMs更为显著。此外,在PMA FM的情况下,写时间的变化比IMA FM更显著。
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引用次数: 0
SAF skyrmion-based leaky-integrate fire neuron device 基于SAF skyrion的泄漏集成火神经元装置
R. K. Raj, Ravi Shankar Verma, Shailendra Yadav, B. Kaushik
The magnetic skyrmion has distinct features like nanoscale size, particle-like behavior, low driving current, and topologically stable which makes it a suitable candidate for neuromorphic computing. Synthetic antiferromagnetic (SAF) skyrmions consist of a pair of coupled ferromagnetic (FM) skyrmions, each in its respective sub-layers that are favourable over the FM skyrmions as they follow the straight trajectories and prevent its annihilation at the nanotrack edge. In this work, a leaky integrate and fire neuronal device model is proposed based on SAF skyrmions with voltage control magnetic anisotropy (VCMA) as a leaky effect for the tunability of the device. The anisotropy is directly correlated with the size of the skyrmion meaning that in the region with larger anisotropy, the skyrmion size is smaller and hence, more energy. However, the skyrmions have the tendency to move toward the minimum energy state means it will move towards the lower anisotropy. This behavior of SAF skyrmion on a nanotrack with anisotropy gradient corresponds to the leaky-integrate-fire (LIF) functionality of the neuron device. Moreover, device performance is also realized at room temperature for practical implementation. Hence, the proposed device possesses an energy-efficient artificial neuron opens up the path for the development of next-generation skyrmionic devices for neuromorphic computing.
磁性skyrmion具有纳米级尺寸、类粒子行为、低驱动电流和拓扑稳定等特点,是神经形态计算的理想选择。合成反铁磁(SAF)天幕由一对耦合的铁磁(FM)天幕组成,每个天幕都在各自的子层中,这些子层比FM天幕更有利,因为它们遵循直线轨迹并防止其在纳米轨道边缘湮灭。本文提出了一种以电压控制磁各向异性(VCMA)为漏性效应的基于SAF skyrmions的漏性集成火神经元器件模型。各向异性与斯基米子的大小直接相关,这意味着在各向异性较大的区域,斯基米子的大小较小,因此能量更多。然而,skyrmions有向最小能态移动的趋势,这意味着它将向较低的各向异性移动。在具有各向异性梯度的纳米轨道上,SAF粒子的这种行为与神经元装置的泄漏-积分火(LIF)功能相对应。此外,为了实际实现,器件性能也在室温下实现。因此,该装置具有节能的人工神经元,为下一代神经形态计算的天空仿生装置的发展开辟了道路。
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引用次数: 0
Cell classification framework using U-Net: convolutional networks for cervix cell segmentation 使用U-Net的细胞分类框架:卷积网络用于子宫颈细胞分割
Tugce Ermis, Emre Şener, M. Elitaş
With the technological advancements in machine learning, it has become more prevalent to use learning techniques for clinical decision-making based on medical images. One of the state-of-the-art methods used for this purpose is Convolutional Neural Networks (CNN) for medical image segmentation and deep learning models for disease detection and classification. In this paper, we propose a framework for image segmentation using hierarchical CNNs to classify different types of cells using small frame images. This paper aims to generalize the segmentation of cancer cells, starting with cervix cancer. The first step of the framework is to achieve automatic nucleus and cell masking of the images using U-Net. The images are then segmented into “satisfactory” and “unsatisfactory” categories to determine whether these images can be used in our classification model. Using the hierarchical CNN, the satisfactory images are clustered based on cell types since the cell features that need to be considered vary between different cell types. Lastly, our classification model is trained with automatically segmented images to classify different cancer types based on cell images using various features, such as the area of the nucleus, the ratio of the nucleus area and cytoplasm area and the visual morphology of chromatin strands in the nucleus. To demonstrate the performance of the proposed framework, a labeled dataset, taken from the Detay Pathology and Cytology Laboratory, with over 100 images were used.
随着机器学习技术的进步,使用基于医学图像的学习技术进行临床决策已经变得越来越普遍。用于此目的的最先进的方法之一是用于医学图像分割的卷积神经网络(CNN)和用于疾病检测和分类的深度学习模型。在本文中,我们提出了一个使用分层cnn的图像分割框架,使用小帧图像对不同类型的细胞进行分类。本文旨在概括癌细胞的分割,从宫颈癌开始。该框架的第一步是利用U-Net实现图像的细胞核和细胞自动掩蔽。然后将图像分割为“满意”和“不满意”类别,以确定这些图像是否可以用于我们的分类模型。使用分层CNN,由于需要考虑的细胞特征在不同的细胞类型之间是不同的,因此基于细胞类型对满意的图像进行聚类。最后,我们的分类模型使用自动分割的图像进行训练,利用细胞核的面积、细胞核面积与细胞质面积的比例以及细胞核中染色质链的视觉形态等各种特征,基于细胞图像对不同类型的癌症进行分类。为了证明所提出的框架的性能,使用了来自Detay病理学和细胞学实验室的标记数据集,其中包含100多张图像。
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引用次数: 0
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International Conference on Nanoscience, Engineering and Technology (ICONSET 2011)
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