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2006 IEEE/NLM Life Science Systems and Applications Workshop最新文献

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Mining Gene Expression Profiles with Biological Prior Knowledge 利用生物学先验知识挖掘基因表达谱
2006 IEEE/NLM Life Science Systems and Applications Workshop Pub Date : 2006-11-30 DOI: 10.1109/LSSA.2006.250396
Seungchan Kim, Younghee Tak, L. Tari
{"title":"Mining Gene Expression Profiles with Biological Prior Knowledge","authors":"Seungchan Kim, Younghee Tak, L. Tari","doi":"10.1109/LSSA.2006.250396","DOIUrl":"https://doi.org/10.1109/LSSA.2006.250396","url":null,"abstract":"One of the important goals in the post-genomic era is to identify the functions of genes, either individually or as group. Recently, there has been an increasing use of the gene ontology (GO) to analyze a list of genes identified via various statistical and/or computational methods. The main assumption behind using GO for interpreting microarray data is that the genes that belong to similar molecular functions or biological processes would display similarly tightly regulated expression patterns. Current methods utilize GO after the statistical analysis of gene expression data. In this paper, we describe a method that utilizes both gene expression values and biological knowledge simultaneously to identify the significant biological functions. The method is different from other methods in that it incorporates GO as prior knowledge into the mining of gene expression data. The method has been applied to the gene expression profiles to cell cycle experiments","PeriodicalId":360097,"journal":{"name":"2006 IEEE/NLM Life Science Systems and Applications Workshop","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124845130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Functional optical imaging of brain activation: a multi-scale, multi-modality approach 脑激活的功能光学成像:多尺度、多模态方法
2006 IEEE/NLM Life Science Systems and Applications Workshop Pub Date : 2006-11-30 DOI: 10.1109/LSSA.2006.250368
E. Hillman
{"title":"Functional optical imaging of brain activation: a multi-scale, multi-modality approach","authors":"E. Hillman","doi":"10.1109/LSSA.2006.250368","DOIUrl":"https://doi.org/10.1109/LSSA.2006.250368","url":null,"abstract":"We have developed and applied novel tools for functional optical imaging of the brain. By imaging the brain's response to stimulus using different modalities, and on different length scales, we can form a more detailed picture of the mechanisms underlying healthy and diseased functional brain activity. One such tool, laminar optical tomography (LOT), is a new technique for 3D, non-contact, high-resolution functional imaging of living tissues. LOT has been used to examine the depth-resolved hemodynamic response to functional activation in exposed rat cortex. LOT has sufficient spatial and temporal resolution to resolve the individual vascular compartments involved in the hemodynamic response (arterial, capillary and venous). To further validate our observations, we also developed a video-rate two-photon microscopy system, capable of imaging at 22 frames per second. We have used this system to create full-field two-photon movies of both the vascular dynamics and calcium-dependent neuronal activity at very high resolution. In addition, we have developed a system for simultaneous exposed-cortex, multi-spectral 2D optical imaging and fMRI at 4.7T. These experiments have allowed us to relate our optical findings to the clinically important BOLD signal","PeriodicalId":360097,"journal":{"name":"2006 IEEE/NLM Life Science Systems and Applications Workshop","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126469548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Challenges in System and Circuit Design for High Density Retinal Prosthesis 高密度视网膜假体系统与电路设计的挑战
2006 IEEE/NLM Life Science Systems and Applications Workshop Pub Date : 2006-11-30 DOI: 10.1109/LSSA.2006.250386
M. Sivaprakasam, Wentai Liu, Guoxing Wang, Mingcui Thou, J. Weiland, M. Humayun
{"title":"Challenges in System and Circuit Design for High Density Retinal Prosthesis","authors":"M. Sivaprakasam, Wentai Liu, Guoxing Wang, Mingcui Thou, J. Weiland, M. Humayun","doi":"10.1109/LSSA.2006.250386","DOIUrl":"https://doi.org/10.1109/LSSA.2006.250386","url":null,"abstract":"A 32 times 32 retinal prosthesis is under development towards the goal of restoring vision in blind patients affected by retinitis pigmentosa and age-related macular degeneration. The system consists of three major functional components namely, microstimulator, wireless data telemetry, and wireless power telemetry. The system design and the circuit design of these blocks are governed by both biomedical and IC design constraints. This paper will provide a status update of the work and discuss the remaining challenges to be overcome to realize a fully integrated and miniaturized retinal prosthesis unit. Some of the challenges are integrating passive devices such as coils, diodes and capacitors, need for high voltage devices for stimulation, biocompatible and hermetic interface of the electronics","PeriodicalId":360097,"journal":{"name":"2006 IEEE/NLM Life Science Systems and Applications Workshop","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131825257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Use Mean Shift to Track Neuronal Axons in 3D 使用Mean Shift在3D中跟踪神经元轴突
2006 IEEE/NLM Life Science Systems and Applications Workshop Pub Date : 2006-11-30 DOI: 10.1109/LSSA.2006.250405
Hongmin Cai, Xiaoyin Xu, Ju Lu, J. Lichtman, S. Yung, Stephen T. C. Wong
{"title":"Use Mean Shift to Track Neuronal Axons in 3D","authors":"Hongmin Cai, Xiaoyin Xu, Ju Lu, J. Lichtman, S. Yung, Stephen T. C. Wong","doi":"10.1109/LSSA.2006.250405","DOIUrl":"https://doi.org/10.1109/LSSA.2006.250405","url":null,"abstract":"Morphology is very important in help neuroscientists understand neuronal functions and connectivity of neurons. Using confocal microscopy researchers can acquire 3D images of neuronal axons in high resolution and study how axons innervate muscular fibers. To test different innervation models, researchers need to track every single axons and its branches in 3D. A robust segmentation and tracking method is needed to follow each axon in 3D. Challenges are that axons may appear touching each other in the image and make it difficult to segment. In addition, split and merge of axons require judicious image processing to correctly track axons in these cases. We present a 3-step segmentation and tracking algorithm to address these problems. Our proposed method includes nonlinear anisotropic diffusion for noise removal and edge enhancement, morphological operation for edge detection, and mean shift for tracking in three dimensions. The method can segment contacting objects and track the axons when they merge or split","PeriodicalId":360097,"journal":{"name":"2006 IEEE/NLM Life Science Systems and Applications Workshop","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124526085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Towards a Modular 32 x 32 Pixel Stimulator for Retinal Prosthesis 一种用于视网膜假体的模块化32 x 32像素刺激器
2006 IEEE/NLM Life Science Systems and Applications Workshop Pub Date : 2006-11-30 DOI: 10.1109/LSSA.2006.250375
M. Sivaprakasam, Wentai Liu, Guoxing Wang, Linh Hoang, J. Weiland, M. Humayun
{"title":"Towards a Modular 32 x 32 Pixel Stimulator for Retinal Prosthesis","authors":"M. Sivaprakasam, Wentai Liu, Guoxing Wang, Linh Hoang, J. Weiland, M. Humayun","doi":"10.1109/LSSA.2006.250375","DOIUrl":"https://doi.org/10.1109/LSSA.2006.250375","url":null,"abstract":"Future retinal prosthesis requires more stimulation sites to restore vision to the level of independent mobility, large print reading and facial recognition. This paper presents a modular design of a 1024 pixel retinal stimulator. The individual module consists of 64 drivers, chosen to optimize the system. The circuit design and the layout of the 64-driver module are presented. The chip is currently under fabrication in 0.35-mum CMOS. The digital controller block for the chip is currently being designed and will be integrated with this driver chip in the future","PeriodicalId":360097,"journal":{"name":"2006 IEEE/NLM Life Science Systems and Applications Workshop","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115872062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
The Implementation of Biotelemetry Chip by Analog Modulation Technique 用模拟调制技术实现生物遥测芯片
2006 IEEE/NLM Life Science Systems and Applications Workshop Pub Date : 2006-11-30 DOI: 10.1109/LSSA.2006.250409
Chen-Ming Hsu, Ho-Yin Lee, C. Luo
{"title":"The Implementation of Biotelemetry Chip by Analog Modulation Technique","authors":"Chen-Ming Hsu, Ho-Yin Lee, C. Luo","doi":"10.1109/LSSA.2006.250409","DOIUrl":"https://doi.org/10.1109/LSSA.2006.250409","url":null,"abstract":"With the progress of biotechnology wireless technique, the physiological parameters of patients should be monitored and recorded lively without interfering their routine activities. On the basis of this, the low power and easily integrated biotelemetry chip is present in this paper. Besides mixers for modulation needed, the PLL is adopted to make stable carrier in transmitter and lock the shifted phase in receiver, the sixth stage Gm-C BPF and second stage active RC LPF are adopted for channel selector and demodulation in receiver. The specifications of this biotelemetry are: 1) Modulation method: amplitude, 2) Operating frequency: 20 MHz ~ 100MHz 3) Biomedical signal potential sensitivity: 1 mV, 4) Signal input bandwidth: 100 kHz, 5. Power consumption in sensing part: 5 mW. The ECG and PH signals have been served as the input signal for the measurement of the system performance. The chips are fabricated in TSMC 0.35 mum 2P4M CMOS technology","PeriodicalId":360097,"journal":{"name":"2006 IEEE/NLM Life Science Systems and Applications Workshop","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128118049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Identification of brain activity from fMRI data: comparison of three fractal scaling analyses 从功能磁共振成像数据中识别大脑活动:三种分形尺度分析的比较
2006 IEEE/NLM Life Science Systems and Applications Workshop Pub Date : 2006-11-30 DOI: 10.1109/LSSA.2006.250416
Jing Hu, Jae-Min Lee, Jianbo Gao, K. White, B. Crosson
{"title":"Identification of brain activity from fMRI data: comparison of three fractal scaling analyses","authors":"Jing Hu, Jae-Min Lee, Jianbo Gao, K. White, B. Crosson","doi":"10.1109/LSSA.2006.250416","DOIUrl":"https://doi.org/10.1109/LSSA.2006.250416","url":null,"abstract":"Functional magnetic resonance imaging (fMRI) signal changes can be separated from background noise by various signal/image processing algorithms, including the well-known method, deconvolution. However, discriminating signal changes due to task-related brain activities from those due to task-related head motion, or due to other artifacts related in time to the task, has been little addressed. We examine whether three exploratory fractal scaling analyses that capture temporal correlation, the fluctuation analysis (FA), wavelet multiresolution analysis (WMA), and detrended fluctuation analysis (DFA), can be effective and reliable in this task. We find that DFA is indeed so. Brain activation maps derived by DFA are similar to maps derived by deconvolution. We also assess a signal model recently introduced by Birn et al. by applying DFA to simulation data generated from this model. We find that Birn's model fits our experimental data very well. Deconvolution explicitly uses information about task timing to extract the signals whereas DFA does not. Therefore, DFA is a promising practical method for fMRI data analysis","PeriodicalId":360097,"journal":{"name":"2006 IEEE/NLM Life Science Systems and Applications Workshop","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131564225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Synchronization and Bifurcation Phenomena in Inhibitory Neurons with Gap-junction 具有间隙连接的抑制性神经元的同步和分岔现象
2006 IEEE/NLM Life Science Systems and Applications Workshop Pub Date : 2006-11-30 DOI: 10.1109/LSSA.2006.250420
S. Tsuji, T. Ueta, H. Kawakami, K. Aihara
{"title":"Synchronization and Bifurcation Phenomena in Inhibitory Neurons with Gap-junction","authors":"S. Tsuji, T. Ueta, H. Kawakami, K. Aihara","doi":"10.1109/LSSA.2006.250420","DOIUrl":"https://doi.org/10.1109/LSSA.2006.250420","url":null,"abstract":"Electrical coupling has been discovered extensively between certain neurons in some regions of the brain. They are also coupled by bi-directional or uni-directional inhibitory synapses. However, the relationship between synchronous firing of them and different functional roles of each coupling have not been revealed perfectly. To clarify the above problem, we investigate bifurcation phenomena in coupled neuron models interconnected by both electrical and inhibitory synapses. As a result, we show that coupled neurons show in-phase, anti-phase solutions and complex behavior by the interaction between electrical and inhibitory synapses and that large scale network can show irregular switching between in-phase and anti-phase solutions","PeriodicalId":360097,"journal":{"name":"2006 IEEE/NLM Life Science Systems and Applications Workshop","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116804135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Modeling Inner and Outer Psychophysics: An Application to Visual Perceptual Learning 内外心理物理学建模:在视觉知觉学习中的应用
2006 IEEE/NLM Life Science Systems and Applications Workshop Pub Date : 2006-11-30 DOI: 10.1109/LSSA.2006.250380
M. Wenger, R. J. Von Der Heide, J. Bittner, B. Sullivan
{"title":"Modeling Inner and Outer Psychophysics: An Application to Visual Perceptual Learning","authors":"M. Wenger, R. J. Von Der Heide, J. Bittner, B. Sullivan","doi":"10.1109/LSSA.2006.250380","DOIUrl":"https://doi.org/10.1109/LSSA.2006.250380","url":null,"abstract":"This paper presents a summary of an effort to use computational modeling to link behavioral and neurophysiological levels of analysis in support of tests of hypotheses regarding a phenomenon in sensory science: visual perceptual learning. In particular, the modeling approach is applied to the unexpected finding that shifts in response bias may play a critical role in this phenomenon. The models are used to simultaneously consider response choice, response latency, and scalp-wide distribution of cortical field potentials, based on large simulated neural populations","PeriodicalId":360097,"journal":{"name":"2006 IEEE/NLM Life Science Systems and Applications Workshop","volume":"181 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122284791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A novel cell tracking algorithm and continuous hidden Markov model for cell phase identification 一种新的细胞跟踪算法和连续隐马尔可夫模型用于细胞相位识别
2006 IEEE/NLM Life Science Systems and Applications Workshop Pub Date : 2006-11-30 DOI: 10.1109/LSSA.2006.250403
Xiaobo Thou, Jun Yang, M. Wang, Stephen T. C. Wong
{"title":"A novel cell tracking algorithm and continuous hidden Markov model for cell phase identification","authors":"Xiaobo Thou, Jun Yang, M. Wang, Stephen T. C. Wong","doi":"10.1109/LSSA.2006.250403","DOIUrl":"https://doi.org/10.1109/LSSA.2006.250403","url":null,"abstract":"Time-lapse microscopy cell imaging is attracting more and more attentions due to its potential in achieving new and high throughput ways to conduct drug discovery and quantitative cellular studies. However, the lacking of effective automatic systems for studying a large population of cell nuclei is limiting the application of it. In this paper, we propose a novel hybrid merging algorithm for cell nuclei segmentation and propose a novel favorite matching plus local tree matching algorithm to track dynamic behaviors of a large population of cell nuclei in time-lapse microscopy. And then we propose to identify the phases of cell nuclei using context information of tracks by continuous hidden Markov model. Experimental results show the whole proposed system is very effective for time-lapse microscopy cell imaging segmentation, tracking and cell phase identification","PeriodicalId":360097,"journal":{"name":"2006 IEEE/NLM Life Science Systems and Applications Workshop","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124997089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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