{"title":"Generation of Pig Airways using Rules Developed from the Measurements of Physical Airways.","authors":"Md Khurshidul Azad, Hansen A Mansy","doi":"10.4172/2155-9538.1000203","DOIUrl":"https://doi.org/10.4172/2155-9538.1000203","url":null,"abstract":"BACKGROUND A method for generating bronchial tree would be helpful when constructing models of the tree for benchtop experiments as well as for numerical modeling of flow or sound propagation in the airways. Early studies documented the geometric details of the human airways that were used to develop methods for generating human airway tree. However, methods for generating animal airway tree are scarcer. Earlier studies suggested that the morphology of animal airways can be significantly different from that of humans. Hence, using algorithms for the human airways may not be accurate in generating models of animal airway geometry. OBJECTIVE The objective of this study is to develop an algorithm for generating pig airway tree based on the geometric details extracted from the physical measurements. METHODS In the current study, measured values of branch diameters, lengths and bifurcation angles and rotation of bifurcating planes were used to develop an algorithm that is capable of generating a realistic pig airway tree. RESULTS The generation relations between parent and daughter branches were found to follow certain trends. The diameters and the length of different branches were dependent on airway generations while the bifurcation angles were primarily dependent on bifurcation plane rotations. These relations were sufficient to develop rules for generating a model of the pig large airways. CONCLUSION The results suggested that the airway tree generated from the algorithm can provide an approximate geometric model of pig airways for computational and benchtop studies.","PeriodicalId":73616,"journal":{"name":"Journal of bioengineering & biomedical science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4172/2155-9538.1000203","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34779293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effect of Noise on Time-frequency Analysis of Vibrocardiographic Signals.","authors":"A Taebi, H A Mansy","doi":"10.4172/2155-9538.1000202","DOIUrl":"10.4172/2155-9538.1000202","url":null,"abstract":"<p><p>Recordings of biological signals such as vibrocardiography often contain contaminating noise. Noise sources may include respiratory, gastrointestinal, and muscles movement, or environmental noise. Depending on individual physiology and sensor location, the vibrocardiographic (VCG) signals may be obscured by these noises in the time-frequency plane, which may interfere with automated characterization of VCG. In this study, polynomial chirplet transform (PCT) and smoothed pseudo Wigner-Ville distribution (SPWVD) were used to estimate the instantaneous frequency (IF) of two simulated VCG signals. One simulated signal contained a time-varying IF while the other had a fixed IF. The error in estimating IF was then calculated for signal-to-noise ratios (SNR) from -10 to 10 dB. Analysis was repeated 100 times at each level of noise using randomized sets of white noise. Error analysis showed that the range of errors in estimating IF was wider when SNR decreased. Results also showed that PCT tended to outperform SPWVD at high SNR. For example, PCT was more accurate at SNR > 3 dB for a simulated VCG signal with constant frequency components, at SNR>-10 dB for a simulated VCG signal with time-varying frequency, and at SNR > 0 for an actual VCG.</p>","PeriodicalId":73616,"journal":{"name":"Journal of bioengineering & biomedical science","volume":"6 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4172/2155-9538.1000202","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9395870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Neil J Daily, Yue Yin, Pinar Kemanli, Brian Ip, Tetsuro Wakatsuki
{"title":"Improving Cardiac Action Potential Measurements: 2D and 3D Cell Culture.","authors":"Neil J Daily, Yue Yin, Pinar Kemanli, Brian Ip, Tetsuro Wakatsuki","doi":"10.4172/2155-9538.1000168","DOIUrl":"https://doi.org/10.4172/2155-9538.1000168","url":null,"abstract":"<p><p>Progress in the development of assays for measuring cardiac action potential is crucial for the discovery of drugs for treating cardiac disease and assessing cardiotoxicity. Recently, high-throughput methods for assessing action potential using induced pluripotent stem cell (iPSC) derived cardiomyocytes in both two-dimensional monolayer cultures and three-dimensional tissues have been developed. We describe an improved method for assessing cardiac action potential using an ultra-fast cost-effective plate reader with commercially available dyes. Our methods improve dramatically the detection of the fluorescence signal from these dyes and make way for the development of more high-throughput methods for cardiac drug discovery and cardiotoxicity.</p>","PeriodicalId":73616,"journal":{"name":"Journal of bioengineering & biomedical science","volume":"5 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4172/2155-9538.1000168","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34949163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Georgios S Stamatakos, Norbert Graf, Ravi Radhakrishnan
{"title":"Multiscale Cancer Modeling and In Silico Oncology: Emerging Computational Frontiers in Basic and Translational Cancer Research.","authors":"Georgios S Stamatakos, Norbert Graf, Ravi Radhakrishnan","doi":"10.4172/2155-9538.1000e114","DOIUrl":"10.4172/2155-9538.1000e114","url":null,"abstract":"Cancer cells contain numerous mutations in the genome that are present in most or all malignant cells of a tumor. While not all mutations are significant for cancer progression, a subset of them, often termed driver mutations, have presumably been selected because they confer a distinctive fitness advantage for malignant cells in a heterogeneous tumor microenvironment [1,2]. Correlative studies on clinical samples profiling such mutations in various cancer types suggest that such drivers confer fitness advantage by providing a gain of function in several categories of cancer cell signaling including cell adhesion and motility, signaling, transcriptional regulation, cellular metabolism, and intracellular trafficking [3,4]. One of the grand challenges of the understanding of cancer progression is to find mechanistic links between such alterations and the hall marks of cancers such as increased proliferation and survival, aggressive invasion and metastasis, evasion of cell death, and increased metabolism [5,6]. This challenge is also of quintessential clinical importance because patient outcome to therapy (both in terms of initial response to therapy and subsequent development of resistance to therapy) is now shown to depend on the genetic alterations (primary or acquired) in the individual patients [7,8]. Traditional methods in cell biology and cancer biology such as phospho-proteomics, immuno-precipitation, polymerase chain reaction, in-situ hybridization and molecular imaging, and direct sequencing, along with network-based theories and bioinformatics are reasonably poised to probe some of these altered traits, such as those connected with signaling, transcriptional regulation, and","PeriodicalId":73616,"journal":{"name":"Journal of bioengineering & biomedical science","volume":"3 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6368085/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36935777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Promise and Challenge of Digital Biology.","authors":"Mark E Minie, Ram Samudrala","doi":"10.4172/2155-9538.1000e118","DOIUrl":"https://doi.org/10.4172/2155-9538.1000e118","url":null,"abstract":"The era of Digital Biology began in 2010 with the “rebooting” of a bacterial cell using a synthetic DNA genome created from a digital template stored on a computer [1]. With this event, the creation of Mycoplasma laboratorium (nicknamed “Synthea”), came the first complete proof that DNA was the true software of life. Cells could be simulated digitally and the simulations could be tested against reality by reprograming cytoplasm with synthetic genomes generated from the digital DNA sequences driving those simulations. This in turn has created the expectation and promise that a deeper understanding of cellular function and thus life itself could be achieved on an infinite iterative loop of computer modeling and chemical synthesis (Figure 1) [2].","PeriodicalId":73616,"journal":{"name":"Journal of bioengineering & biomedical science","volume":"3 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6191183/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9384732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Martina Mancini, Laurie King, Arash Salarian, Lars Holmstrom, James McNames, Fay B Horak
{"title":"Mobility Lab to Assess Balance and Gait with Synchronized Body-worn Sensors.","authors":"Martina Mancini, Laurie King, Arash Salarian, Lars Holmstrom, James McNames, Fay B Horak","doi":"10.4172/2155-9538.S1-007","DOIUrl":"https://doi.org/10.4172/2155-9538.S1-007","url":null,"abstract":"<p><p>This paper is a commentary to introduce how rehabilitation professionals can use a new, body-worn sensor system to obtain objective measures of balance and gait. Current assessments of balance and gait in clinical rehabilitation are largely limited to subjective scales, simple stop-watch measures, or complex, expensive machines not practical or largely available. Although accelerometers and gyroscopes have been shown to accurately quantify many aspects of gait and balance kinematics, only recently a comprehensive, portable system has become available for clinicians. By measuring body motion during tests that clinicians are already performing, such as the Timed Up and Go test (TUG) and the Clinical Test of Sensory Integration for Balance (CITSIB), the additional time for assessment is minimal. By providing instant analysis of balance and gait and comparing a patient's performance to age-matched control values, therapists receive an objective, sensitive screening profile of balance and gait strategies. This motion screening profile can be used to identify mild abnormalities not obvious with traditional clinical testing, measure small changes due to rehabilitation, and design customized rehabilitation programs for each individual's specific balance and gait deficits.</p>","PeriodicalId":73616,"journal":{"name":"Journal of bioengineering & biomedical science","volume":"Suppl 1 ","pages":"007"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4172/2155-9538.S1-007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32445780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eunice Wu, Yan A Su, Eric Billings, Bernard R Brooks, Xiongwu Wu
{"title":"Automatic Spot Identification for High Throughput Microarray Analysis.","authors":"Eunice Wu, Yan A Su, Eric Billings, Bernard R Brooks, Xiongwu Wu","doi":"10.4172/2155-9538.S5-005","DOIUrl":"https://doi.org/10.4172/2155-9538.S5-005","url":null,"abstract":"<p><p>High throughput microarray analysis has great potential in scientific research, disease diagnosis, and drug discovery. A major hurdle toward high throughput microarray analysis is the time and effort needed to accurately locate gene spots in microarray images. An automatic microarray image processor will allow accurate and efficient determination of spot locations and sizes so that gene expression information can be reliably extracted in a high throughput manner. Current microarray image processing tools require intensive manual operations in addition to the input of grid parameters to correctly and accurately identify gene spots. This work developed a method, herein called auto-spot, to automate the spot identification process. Through a series of correlation and convolution operations, as well as pixel manipulations, this method makes spot identification an automatic and accurate process. Testing with real microarray images has demonstrated that this method is capable of automatically extracting subgrids from microarray images and determining spot locations and sizes within each subgrid, regardless of variations in array patterns and background noises. With this method, we are one step closer to the goal of high throughput microarray analysis.</p>","PeriodicalId":73616,"journal":{"name":"Journal of bioengineering & biomedical science","volume":"Suppl 5 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3843961/pdf/nihms450836.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31919645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pamela T Bhatti, Susan J Herdman, Siddarth Datta Roy, Courtney D Hall, Ronald J Tusa
{"title":"A Prototype Head-Motion Monitoring System for In-Home Vestibular Rehabilitation Therapy.","authors":"Pamela T Bhatti, Susan J Herdman, Siddarth Datta Roy, Courtney D Hall, Ronald J Tusa","doi":"10.4172/2155-9538.S1-009","DOIUrl":"https://doi.org/10.4172/2155-9538.S1-009","url":null,"abstract":"This work reports the use of a head-motion monitoring system to record patient head movements while completing in-home exercises for vestibular rehabilitation therapy. Based upon a dual-axis gyroscope (yaw and pitch, ± 500-degrees/sec maximum), angular head rotations were measured and stored via an on-board memory card. The system enabled the clinician to document exercises at home. Several measurements were recorded in one patient with unilateral vestibular hypofunction: The total time of exercise for the week (118 minutes) was documented and compared with expected weekly exercise time (140 minutes). For gaze stabilization exercises, execution time of 60 sec was expected, and observed times ranged from 75-100 sec. An absence of rest periods between each exercise instead of the recommended one minute rest period was observed. Maximum yaw head velocities from approximately 100-350 degrees/sec were detected. A second subject provided feedback concerning the ease of use of the HAMMS device. This pilot study demonstrates, for the first time, the capability to capture the head-motion \"signature\" of a patient while completing vestibular rehabilitation exercises in the home and to extract exercise regime parameters and monitor patient adherence. This emerging technology has the potential to greatly improve rehabilitation outcomes for individuals completing in-home gaze stabilization exercises.","PeriodicalId":73616,"journal":{"name":"Journal of bioengineering & biomedical science","volume":"Suppl 1 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4172/2155-9538.S1-009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33210281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}