Academic literature on the topic 'Roboshop'
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Journal articles on the topic "Roboshop"
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Casti, John L. "Robosoc." Complexity 4, no. 1 (September 1998): 10–12. http://dx.doi.org/10.1002/(sici)1099-0526(199809/10)4:1<10::aid-cplx4>3.0.co;2-t.
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INABA, Yoshiharu, Mitsuto MIYATA, Hiroyuki UCHIDA, and Ryo NIHEI. "Course of Research and Development of CNC, Servo, Robot and Roboshot." Journal of the Japan Society for Precision Engineering 75, no. 1 (2009): 117–18. http://dx.doi.org/10.2493/jjspe.75.117.
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Fernandez-Bango, Casiana, Leonardo Davila, Alina Gutierrez, Dania Mateu, Ana Hernandez, and Phillip Ruiz. "P230 Automation for flow cytometry crossmatch (FCXM) lymphocyte isolation using robosep." Human Immunology 78 (September 2017): 224. http://dx.doi.org/10.1016/j.humimm.2017.06.290.
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Woodside, Steven M., Ron C. Makowichuk, Jodie Fadum, Albertus W. Wognum, Allen C. Eaves, and Terry E. Thomas. "Fully Automated Magnetic Labeling and Separation of Hematopoietic Cells from Multiple Samples." Blood 106, no. 11 (November 16, 2005): 1074. http://dx.doi.org/10.1182/blood.v106.11.1074.1074.
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Abstract Laboratory process automation is an important requirement for streamlining and standardizing technical procedures. Despite the extensive use of magnetic cell separation, only the latter steps in these procedures have been automated. Currently magnetic cell labeling is done manually followed by automated magnetic separation (e.g. AutoMACS and Isolex). Additionally, current technology only allows for processing of a single sample at a time. Our objective was to develop a fully automated system to magnetically separate multiple blood and bone marrow samples. The major barrier to automation of cell labeling is that these procedures typically require a centrifugal wash step, which is relatively expensive to automate and requires bulky equipment. We had previously developed a magnetic cell labeling/separation system call EasySep® (Stemcell Technologies) which does not require a centrifugal wash step. We have now fully automated EasySep® and present the RoboSep™ instrument which magnetically labels and separates 4 samples at once, with up to 2×109 total cells per sample or 8×109 total cells. The instrument operates in a standard biosafety hood and uses sterile disposable pipette tips to ensure aseptic operation and avoid cross-contamination between samples. Standardized automation protocols have been developed for both positive and negative selection. With positive selection, the desired cells are magnetically labeled and then purified by a sequence of magnetic wash steps. With negative selection, unwanted cells are magnetically labeled and then depleted. To demonstrate the suitability of RoboSep™ for automated positive selection of hematopoietic progenitors and stem cells, we performed CD34+ cell selection from previously frozen cord blood (CB) and mobilized peripheral blood (MPB). For the CB separations, the CD34+ cell content was enriched from 1.2±0.4% to 96.6±3.1% with a recovery of 45±9% (n=9, mean ± 1 SD). For the MPB separations the CD34+ cell content was enriched from 0.7±0.1% to 96.7±3.1%, with a recovery of 45±13% (n=4). To test RoboSep in negative selection we used an EasySep® antibody cocktail depleting cells that express any of CD2, CD3, CD11b, CD11c, CD14, CD16, CD19, CD24, CD56, CD66b, and glycophorin A to isolate hematopoietic progenitors from bone marrow (BM) and MPB. CB separations required the addition of anti-CD41 to the antibody cocktail for depletion of platelets. The table below shows results for negative selection from BM, CB and MPB. Manual separations performed in parallel with the above automated separations showed comparable purity and recovery, indicating that we have succeeded in automating both positive and negative selection procedures. The RoboSep instrument processes up to 4 tissue samples at once and provides the opportunity to isolate multiple cell subsets from the same sample by combining positive and negative selection methods in a single automated procedure. Negative Selection Results (Mean± 1 SD) Sample % CD34+ in start % CD34+ in enriched % Recovery CD34+ cells Fold-enrichment of total BFU-E, CFU-GM, CFU-GEMM % recovery of total BFU-E, CFU-GM, CFU-GEMM N.A. Not Available CB (n=2) 1.5 67.4 50 36 38 MPB (n=2) 1.1 50.0 45 50 41 BM (n=4) 4.7±3.1 47.5±7.5 N.A. 47±10 71±13
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Kafka, S., and R. K. Honeycutt. "Analysis of Long-Term Variability of Cataclysmic Variables." International Astronomical Union Colloquium 194 (July 2004): 238. http://dx.doi.org/10.1017/s0252921100152832.
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Photometric variability in cataclysmic variables (CVs) on time scales longer than a few days can be most effectively addressed by automated long-term monitoring programs such as that of RoboScope (Honeycutt & Turner 1992): more than 100 CVs have been monitored for about 13 years, obtaining 75 to 150 measurements per year for each system. Among the techniques being explored for analysing this data set is the use of the structure function (SF), an autocorrelation tool employed extensively for the study of the light curves of AGNs (e.g. Hufnagel & Bregman 1992). A first order SF measures the scatter in a time series of magnitudes, m, as as a function of the time lag, τ (Hughes, Aller & Aller 1992).
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McQueen, Karina L., Maureen Fairhurst, Melany Nauer, Jenna L. Warren, Allen C. Eaves, and Terry Thomas. "A Rapid Automated Method for the Sequential Isolation of CD19, CD3 and Myeloid Cells from One Tube of Whole Blood." Blood 110, no. 11 (November 16, 2007): 4867. http://dx.doi.org/10.1182/blood.v110.11.4867.4867.
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Abstract Immune ablation followed by allogeneic hematopoietic cell transplantation in humans necessitates hematopoietic cell reconstitution and immune re-education. All blood cell lineages are affected and post-transplantation immune restoration depends upon the graft’s ability to generate both lymphoid and myeloid lineage cells. Decisions regarding immunomodulation treatment post-transplantation are often made on the basis of chimerism testing. Chimerism analysis is typically performed on small blood samples, especially with pediatric patients. Since lymphoid and myeloid engraftment is asynchronous the determination of lineage-specific chimerism is needed. Analysis of purified cell subsets requires techniques which can isolate >1 cell type from a single small starting sample. This avoids dividing the sample. Performing flow cytometry as well as isolation of DNA from the purified subsets means that high cell recovery is essential. Preparation of the sample using a ficoll-based method often results in cell loss of 50% while certain lysis and wash steps can affect granulocyte content. We describe a method of sequential selections to isolate B cells, then T cells and finally myeloid lineages (CD33+ and/or CD66b+) using a fully automated pipetting robot called RoboSep®. RoboSep® can process sample sizes that range from 0.5 to 4.25 ml of human whole blood. CD19 (B cell) positive and CD3 (T cell) positive and myeloid cell fractions are isolated using immunomagnetic, column-free positive selection (EasySep®). Briefly, cells are first labeled with antibody targeting CD19 positive cells. These are then coupled to magnetic nanoparticles and the sample is placed in a magnet. The supernatant with unlabeled cells is removed to a new tube, leaving isolated CD19 positive cells in the magnet. The supernatant is then labeled with anti-CD3 antibody, magnetic nanoparticles, placed in a magnet and the supernatant is removed to a new tube leaving isolated CD3 positive cells. Finally, a cocktail of antibodies (anti-CD33, anti-CD66b) is used to label and select the myeloid cells from the supernatant. The resultant positive cells are collected in the magnet. Assessment by flow cytometry yields average purities over 90% for all cell types. Cell isolation using this method produces highly purified cells in quantities sufficient to generate genomic DNA for chimerism testing, even from very small amounts of starting sample. For example, 2.0 ml of whole blood yields on average 1.3ug of B cell genomic DNA, 10.2ug of T cell genomic DNA and 6.1ug of myeloid cell genomic DNA. In conclusion, we have developed a rapid, fully automated RoboSep® method to sequentially isolate highly purified B cells, then T cells and finally myeloid cells from a single starting sample of whole blood. The number of cells (x106) and amount of total genomic DNA (range) obtained from 2.0 ml of whole blood starting sample (n=3). No. Enriched Cells Total DNA (ug) CD19+ 0.12 – 0.34 1.1 – 1.6 CD3+ 1.8 – 3.2 7.9 – 11.9 Myeloid 2.2 – 2.9 4 – 7.2
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Nisiotis, Louis, Lyuba Alboul, and Martin Beer. "A Prototype that Fuses Virtual Reality, Robots, and Social Networks to Create a New Cyber–Physical–Social Eco-Society System for Cultural Heritage." Sustainability 12, no. 2 (January 15, 2020): 645. http://dx.doi.org/10.3390/su12020645.
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With the rapid development of technology and the increasing use of social networks, many opportunities for the design and deployment of interconnected systems arise that could enable a paradigm shift in the ways we interact with cultural heritage. The project described in this paper aims to create a new type of conceptually led environment, a kind of Cyber–Physical–Social Eco-Society (CPSeS) system that would seamlessly blend the real with virtual worlds interactively using Virtual Reality, Robots, and Social Networking technologies, engendered by humans’ interactions and intentions. The project seeks to develop new methods of engaging the current generation of museum visitors, who are influenced by their exposure to modern technology such as social media, smart phones, Internet of Things, smart devices, and visual games, by providing a unique experience of exploring and interacting with real and virtual worlds simultaneously. The research envisions a system that connects visitors to events and/or objects separated either in time or in space, or both, providing social meeting points between them. To demonstrate the attributes of the proposed system, a Virtual Museum scenario has been chosen. The following pages will describe the RoboSHU: Virtual Museum prototype, its capabilities and features, and present a generic development framework that will also be applicable to other contexts and sociospatial domains.
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Miner, Samantha, Sawa Ito, Kazushi Tanimoto, Nancy F. Hensel, Fariba Chinian, Keyvan Keyvanfar, Christopher S. Hourigan, et al. "Myeloid Leukemias Directly Suppress T Cell Proliferation Through STAT3 and Arginase Pathways." Blood 122, no. 21 (November 15, 2013): 3885. http://dx.doi.org/10.1182/blood.v122.21.3885.3885.
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Abstract The immune-editing effect of myeloid leukemia has recently been reported in several studies. We previously demonstrated that the K562 leukemia-derived cell line suppresses T cell proliferation, which suggests that myeloid leukemia may function in a similar way to myeloid derived suppressor cells (MDSC). While the mechanism of suppression in leukemia is not fully understood, recent murine and human studies suggest that the STAT3 and arginase pathways play a key role in the immunosuppressive function of MDSC. We hypothesized that myeloid leukemia utilizes the MDSC STAT3 and arginase pathway to evade immune control, and block anti-leukemic immune responses. To evaluate the suppressive capacity of myeloid leukemia on T cell proliferation, we isolated CD34+ blasts and myeloid derived suppressor cells (MDSC: CD11b+CD14+) from blood of primary leukemia samples by FACS sorting (n=5). These cells were co-cultured with CFSE-labeled CD4+ T cells (n=9), previously isolated from healthy donor PBMCs using an automated cell separator (RoboSep). After stimulating with CD3/CD28 Dynabeads (Invitrogen, New York, USA) for 72 hours, proliferation was measured by CFSE dilution of the viable cell population. In three myeloid leukemias studied, CD4+ T cell proliferation was significantly suppressed in the presence of primary CD34 blasts and MDSC cells (p<0.001). Interestingly, CD34 blasts demonstrated a greater suppressive effect on T cells compared to MDSC cells for these samples (not statistically significant p=0.61). Next we repeated the proliferation assay using five leukemia cell lines: THP-1 and AML1 (derived from AML), K562 and CML1 (derived from CML), and the Daudi lymphoid-derived leukemia cell line. After staining with cell tracer dye and irradiating 100Gy, the cells were co-incubated with CFSE-labeled CD4+ T cells from healthy volunteers (n=6). We found that CD4+ T cell proliferation in the presence of the myeloid leukemia cell lines was significantly suppressed (mean proliferation 5.7±0.9% to 26.1±10.7%: p<0.0001 to 0.05) compared to lymphoid cell lines (mean proliferation 76.3±8.2%: p>0.05), consistent with the results obtained with the primary leukemia samples. To evaluate the impact of STAT3 and arginase on the immunosuppressive function of myeloid leukemia, the five cell lines were primed overnight with either arginase inhibitor (N(ω)-Hydroxy-nor-L-arginine; EMD Biosciences, Inc., California, USA) or two STAT3 inhibitors (STAT3 Inhibitor VI or Cucurbitacin I; EMD Millipore, Massachusetts, USA). Then, CD4+ T cells from healthy donors (n=3) were cultured with either (1) leukemia without any inhibitor (2) leukemia in the presence of inhibitor (3) leukemia primed with inhibitor. Priming leukemia with arginase inhibitor and STAT3 inhibitors almost completely abrogated their suppressive effect of T cell proliferation (p<0.001). We conclude that myeloid leukemia, like MDSC, directly immunosuppresses T cells, through STAT-3 and arginase. This finding may underlie the immune-editing of T cells by myeloid leukemia. Our results suggest that STAT3 inhibitors could be used to augment leukemia-targeted immunotherapy. Further investigation of T cell biology within the leukemia microenvironment is needed to further define immune editing mechanisms in myeloid leukemia. Figure 1 Figure 1. Figure 2 Figure 2. Disclosures: No relevant conflicts of interest to declare.
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Stephens, Nicole, Sawa Ito, Stephen A. Strickland, Bipin N. Savani, Madan Jagasia, J. Joseph Melenhorst, Fang Yin, et al. "High Levels Of IL-27 Occur In Newly Diagnosed Acute Myeloid Leukemia (AML) and May Influence Outcome By Suppressing T Cell Function." Blood 122, no. 21 (November 15, 2013): 2567. http://dx.doi.org/10.1182/blood.v122.21.2567.2567.
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Abstract Between presentation and remission of AML, loss of leukemia burden and the recovery of normal hematopoiesis are likely to be associated with major changes in cytokine profiles which could inform pathophysiology of hematopoiesis and immune recovery and may be predictive for outcome. However cytokine fluctuations in AML before and after induction chemotherapy are not well characterized. To profile the cytokine signatures of patients with AML, we analyzed 57 cytokines, chemokines, and growth factors in blood of 11 patients with AML (mean age 58 years; 31-69) undergoing conventional remission induction chemotherapy enrolled into an investigational study (VICCHEM 1073). Plasma was obtained from heparinized peripheral blood collected at onset of leukemia, 8-14 days, and 22-35 days after the initiation of induction chemotherapy and also from 12 healthy donors. Cytokine levels were measured in duplicate using magnetic beads based Luminex assay (Affymetrix, CA, USA). Compared with normal controls, 5 cytokine patterns were observed. i) levels significantly lower at onset of leukemia, and lowest 8-14 days after induction correlating with lymphocyte count: GM-CSF, M-CSF, PDGF-AA, EGF, FGF basic, IL1b, IL-2,IL4, IL10, IL12p40, IL12p70, IL13, IL15, IL17a, IL22, IL23p19, TNF beta, TNF alpha, IFN alpha, IFN gamma, TGF alpha, MCP3, LIF, Granzyme B, sFAS ligand, TRAIL, (p<0.05). Most of these cytokines are predominantly produced by T cells or other immune cells. ii) levels significantly higher in AML through chemotherapy induction and recovery: IL-27 (p=0.002), MPO, IL2Ra, IL-21, , IP-10, MIG, MIP1 alpha, SDF-1, MCP1(p<0.05), HGF (p=0.05), VEGF (p=0.07), IL1Ra (p=0.058). These cytokines are predominantly produced by stromal cells. iii) levels significantly higher at the onset of leukemia and correlating with lymphocyte count: CD40 ligand (p<0.05). iv) levels significantly lower at onset of leukemia but inversely correlated with lymphocyte count; Flt3-ligand, sFAS (p<0.05). v) No significant differences and fluctuation: NGF, GRO alpha, IL1a, IL3, IL5, IL6, IL7, IL8, IL9, MIP1b, SCF. Among the cytokines persistently elevated in AML, IL-27 was significantly higher in patients who did not achieve complete remission after induction chemotherapy (p=0.03). To investigate the biological consequences of elevated IL-27 in the AML microenvironment, we examined the effect of IL-27 on T-cell function. Previous studies in mice show that IL-27 rapidly induces PD-L1 expression on naïve CD4+ T-cells. Human CD4+ naïve and CD4+ cells were isolated from healthy volunteers (n=4) according to RoboSep protocols (Stemcell Technologies, Vancouver, Canada), then incubated with IL-27 or IL-6 for up to 72 hours. IL-27 was found to induce PD-L1 expression in a time and dose-dependent manner especially in CD4+ naïve and central memory populations. These findings support other findings that AML suppresses protective antileukemic immune responses and cause T cell exhaustion. IL-27 production induced by AML cells may explain exhaustion of CD4+ T-cells through increased PD-L1 expression. Targeting IL-27 may improve immune function in AML and lead to better survival. Disclosures: No relevant conflicts of interest to declare.
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Binder, Moritz, Ryan Carr, Nathalie Droin, Abhishek A. Mangaonkar, Giacomo Coltro, Luciana L. Almada, David Marks, et al. "Peripheral Blood Cell Sorting Strategies for Transcriptomic Analysis in Chronic Myelomonocytic Leukemia." Blood 134, Supplement_1 (November 13, 2019): 4232. http://dx.doi.org/10.1182/blood-2019-122187.
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Introduction: Chronic myelomonocytic leukemia (CMML) is a clonal hematopoietic neoplasm characterized by sustained peripheral blood (PB) monocytosis and an inherent risk for leukemic transformation. Clonal origins of the disease can be detected in hematopoietic progenitor cells (CD34+/CD38-), while the complete spectrum of mutational evolution can be seen in circulating monocytes (CD14+). Cell sorting strategies have been employed to select cells in CMML, and while there are adequate monocyte numbers in the PB, there are very few circulating progenitor cells. In addition, attrition related to the selection process significantly depletes primary cells available for biological experiments and multiomics studies such as RNA-seq, ChIP-seq, ATAC-seq, and DIP-seq. While single-cell methods may be able to overcome this challenge, bulk sequencing methods remain a robust and cost-effective approach. We hypothesized that, secondary to the stem cell origin of this disease and significant myeloproliferation, PB mononuclear cells (MNC) would provide comparable results with regards to transcriptomic analysis, in comparison to cell selection procedures. Methods: Peripheral blood obtained from 15 molecularly annotated patients with WHO-defined CMML was ACK-lysed and subjected to a Ficoll procedure for collection of MNC. MNC were left unsorted (n=5) or further selected for CD34+/CD38- (n=5) and CD14+ (n=5) using a fully automated RoboSep-S (StemCell Technologies) protocol. All samples were then subjected to bulk whole transcriptome shotgun sequencing (using Illumina TruSeq and an Illumina HiSeq 4000). After data quality control, counts of detectable transcripts were log2-normalized and Pearson's product-moment correlation coefficients were calculated to evaluate the correlation between the two cell-sorting strategies and unsorted cells in terms of detectable transcripts. To visualize sample differences log2-normalized transcripts counts were centered and scaled per gene for a select number of genes relevant to myeloid biology as well as a number of housekeeping genes. Results: Fifteen patients with WHO-defined CMML, median age 69 years (55-73 years), 66% male, were included. Next generation sequencing for somatic mutations was performed on PB MNC obtained at CMML diagnosis (Figure 1, top heatmap). Considering the small sample size, mutations were evenly distributed among groups with the exception of ASXL1 (higher frequency in CD14+ and CD34+/CD38- cells), ZRSR2 (higher frequency in unsorted cells), and TET2 (lower frequency in CD14+ cells). The three groups were also well matched with regards to other CMML-related variables such as WHO and FAB morphological subtypes, cytogenetic abnormalities, and risk stratification by the Mayo Molecular Model. Transcriptomic analysis revealed a strong positive correlation between the median number of log2-normalized detectable transcripts in unsorted cells and CD34+/CD38- cells (ρ = 0.96, p < 0.001, top scatterplot). Likewise, there was a strong positive correlation between the median number of log2-normalized detectable transcripts in unsorted cells and CD14+ cells (ρ = 0.91, p < 0.001, bottom scatterplot). The latter correlation was marginally lower, which was explained by increased global gene expression in 3 of the 5 CD14+ samples (bottom heatmap). Increased gene expression in these 3 samples involved key myeloid genes and housekeeping genes known to have stable expression across human tissues alike. In comparison to PB MNC, both cell sorting strategies resulted in significant depletion of primary cells required for other experiments, and for procedures such as ChIP-seq, DIP-seq and ATAC-seq (CD34+/CD38- had greater depletion than CD14+). Additional experiments to assess this strategy for the above mentioned epigenetic studies are currently being planned. Conclusions: Accounting for sample differences, different cell sorting strategies (unsorted, CD34+/CD38- selection, and CD14+ selection) yielded similar results when performing bulk transcriptomic assessments on PB MNC from patients with CMML. For the purpose of gene expression profiling there was no clear advantage with CD34+/CD38- or CD14+ selection. These results support the use of unsorted cells for bulk transcriptomic analysis in CMML. Figure 1 Disclosures Patnaik: Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees.
Dissertations / Theses on the topic "Roboshop"
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Jech, Filip. "Robotizovaný adaptivní systém pro přesné broušení mechanických dílů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442433.
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The aim of diploma theses is the design of an adaptive robotic workplace. The theoretical part focus on the division of robotic systems and the technical description of individual devices that were used in the implementation of the solution. The practical part contains an analysis of solutions and optimization of the entire production process in terms of minimizing the trajectory, smoothness of movements, time interval, which were analyzed in RoboSim software and in Roboshop software source code was created. Part of the theses is the design for an adaptive production process. The result of the work is an algorithm for controlling robot movements between individual processes. The theses contain a variant solution and possible innovative solutions for possible expansion of the workplace.
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Flores, Edgar. "Roboscope : a rebotic input : output device for enhancing computer aimators creativity and expression." Thesis, 2004. http://hdl.handle.net/2429/15420.
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We describe a novel three dimensional (3D) bi-directional modular input/output device
for choreographing and animating computer creatures called Roboscope. Our system
consists of small, one degree of freedom robotic modules that can be assembled to create
1, 2 and 3 degree of freedom joints that are assembled into moveable and moving figures.
As an input device, movement of the physical figure makes the computer figure move.
As an output device, movement of the computer figure makes the physical figure move.
Roboscope keeps the input and output workspace together and provides true multi-degree
of freedom joints that enables animators to keep their attention focused on one task space
rather than dividing it between screen and physical space. Roboscope also provides
physical playback of stored movements and "undo" abilities for motion editing. These
features support the animators' creative and expressive process better than current inputonly
devices.
Books on the topic "Roboshop"
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Storm, Michael. The Roboshop. Leeway Artisans, 2005.
Find full textConference papers on the topic "Roboshop"
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Liu, Kexi, Daisuke Sakamoto, Masahiko Inami, and Takeo Igarashi. "Roboshop." In the 2011 annual conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1978942.1979035.
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Hearing, Stephen, and Jonathan Fletcher. "PTH-026 Roboscope – 2 centre initial experience." In British Society of Gastroenterology Annual Meeting, 17–20 June 2019, Abstracts. BMJ Publishing Group Ltd and British Society of Gastroenterology, 2019. http://dx.doi.org/10.1136/gutjnl-2019-bsgabstracts.51.
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Rusakov, Andrey, Jiwon Shin, and Bertrand Meyer. "Simple concurrency for robotics with the Roboscoop framework." In 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014). IEEE, 2014. http://dx.doi.org/10.1109/iros.2014.6942763.
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Iftikhar, Muhammad, M. J. Majid, M. Muralindran, G. Thayabaren, R. Vigneswaran, and T. T. K. Brendan. "OTOROB: Robot for Orthopaedic Surgeon - Roboscope: Non-Interventional Medical Robot for Telerounding." In 2011 5th International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2011. http://dx.doi.org/10.1109/icbbe.2011.5780335.
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Rosen, Jacob, Laligam N. Sekhar, Daniel Glozman, Muneaki Miyasaka, Jesse Dosher, Brian Dellon, Kris S. Moe, et al. "Roboscope: A flexible and bendable surgical robot for single portal Minimally Invasive Surgery." In 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2017. http://dx.doi.org/10.1109/icra.2017.7989274.
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