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Nanbiosis

U27-S02. Software installation on demand

Software installation on demand

This Unit offers an exceptional software installation service that is not present in our infrastructure. We study each case to try to find the best solution, as long as it fits the technical characteristics, both hardware and software of the Unit.

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U27-S03. Biomedical signals processing

Biomedical signals processing

In our continued commitment to providing advanced solutions in High-Performance Computing (HPC), we are proud to present our specialized service in “Biomedical Signal Processing”. This service harnesses the power of high-performance computing to facilitate the analysis and interpretation of biomedical signals, offering advanced solutions for a variety of clinical and research scenarios.
The HPC service allows remote access to High Performance Computing, Massive Parallel Processing, Mass Storage and different software applications. It responds to the increasing complexity of simulations carried out by the most advanced research projects.

Customer benefits

The “Biomedical Signal Processing” service offers our clients specific advantages by providing access to our advanced High-Performance Computing (HPC) infrastructure, adding significant value to your Research and Development (R&D) activities. Focusing on the critical scenarios in where our service becomes essential, we highlight the following advantages: 

  • Validation of Theoretical Models: We allow researchers to validate and adjust theoretical organ models through detailed simulations, using computing power to compare theoretical results with experimental data. 
  • Custom Algorithm Development: Researchers and scientists can leverage HPC infrastructure to develop and refine custom signal processing algorithms tailored to their specific research objectives. 
  • Analysis of Large Data Sets: For projects involving the analysis of large data sets of biomedical signals, we offer the processing power necessary to perform detailed evaluations and extract meaningful patterns.

Target customer

Access to our HPC infrastructure is designed to meet the needs of diverse user groups, allowing them to perform specialized calculations and experiments in the field of biomedical signal processing.

  • Researchers and Scientists: We offer biomedical engineering  researchers access to HPC resources to perform advanced simulations, validate theoretical models and explore new perspectives in the diagnosis and treatment of cardiac diseases.
  • Biomedical Algorithm Developers: For those focused on developing and refining specific signal processing algorithms, we provide the necessary infrastructure to implement and evaluate custom algorithms.
  • Healthcare Professionals and Biomedical Engineers: Healthcare professionals and biomedical engineers can use our HPC platform to analyze and process large signal data sets, improving efficiency in the analysis of clinical information and the development of advanced medical technologies.
  • Biomedical Technology Companies: We provide them with the ability to test and validate their products in simulated environments, optimizing the performance and precision of their solutions.

Additional information

The HPC service has more than 3260 cores and 5920 parallel processing threads, 26TB of RAM, 264TB NVMe and 400TB HDD of shared storage, all connected by a 100Gbps backbone network. In addition, we currently offer 251,392 CUDA cores, 720GB graphics memory, 1,179.42 peak FP16 TFLOPS, and 828.6 peak FP32 TFLOPS.

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U27-S04. Modeling of the functional behaviour of tissues and organs

Modeling of the functional behaviour of tissues and organs

In our continued commitment to providing advanced solutions in High-Performance Computing (HPC), we are pleased to introduce our “Modeling the Functional Behavior of Tissues and Organs” service. This service leverages the power of high-performance computing, massively parallel processing, mass storage and different software applications to provide detailed and accurate analysis of the functional dynamics of tissues and organs.

Customer benefits

Our service significantly reduces work times, moving simulation processes from weeks to days. Additionally, it enables the simulation of different scenarios and parameters simultaneously.

  • Precision and Reliability: Our High-Performance Computing (HPC)-based simulations provide an unmatched level of precision and reliability in modeling the behavior of tissues and organs. This ensures reliable results and high-quality data to inform critical research decisions. 
  • Effective Optimization: By addressing the complexities of biological processes, our service facilitates the optimization of intervention strategies. Organizations can make precise adjustments to treatments and procedures, reducing costs and improving the effectiveness of therapeutic approaches. 
  • Risk Reduction in Development: Through virtual simulations of medical scenarios, organizations can identify and mitigate risks before practical implementation. This is essential in Research and Development, where error reduction and continuous improvement are imperative.

Target customer

Our “Modeling of the Functional Behavior of Tissues and Organs” service is designed to meet the specific needs of various stakeholders engaged in Research and Development, offering solutions adapted to the particular demands of the following key audience:

  • Biomedical and Scientific Researchers: providing them with advanced tools to thoroughly understand the functional behavior of tissues and organs. We facilitate detailed analysis of complex data and simulation of relevant scenarios to drive significant advances in scientific knowledge.
  • Pharmaceutical and Biotechnology Companies: making it easier to obtain detailed information on the response of tissues to specific compounds, accelerating the development process and improving success rates in creating effective treatments.
  • Health Professionals and Clinicians: personalized medicine, facilitating the personalization of treatments, allowing health professionals to adapt interventions according to the individual characteristics of patients. This is particularly valuable in optimizing therapeutic protocols and improving clinical outcomes.
  • Academic Research Institutions: essential for academics and students engaged in the exploration and understanding of biological processes.

Additional information

The HPC service has more than 3260 cores and 5920 parallel processing threads, 26TB of RAM, 264TB NVMe and 400TB HDD of shared storage, all connected by a 100Gbps backbone network. In addition, we currently have 251,392 CUDA cores, 720GB graphics memory, 1,179.42 peak FP16 TFLOPS, and 828.6 peak FP32 TFLOPS.

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U27-E03. Licensed software

Licensed software:

  • Matlab 202*
  • Abaqus2022
  • Ansys
  • Comsol60
  • Gaussian

* possibility of adding any other software compatible with Linux-type systems

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U27-E02. Open source software

Open source software:

  • HTCondor 9.0 (HTC) job scheduler
  • Python 3.*
  • Python 2.7.18 (python2)
  • GCC/G++ 7/8/9
  • CMake 3.16.3
  • R version 4.2.0
  • OpenFoam
  • LAMMPS
  • LIGGGHTS
  • spparks
  • tetgen(1.6)
  • ovito-2.9 (/home/software/bin/ovito-2.9)
  • paraview
  • sox y libsox-fmt-all
  • ffmpeg
  • mpich
  • git

* possibility of adding any other software compatible with Linux-type systems

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U27-E01. Hermes cluster

Hermes Cluster: The cluster is unit 27 of NANBIOSIS, HERMES has more than 3260 cores and 5920 parallel processing threads, 26TB of RAM, 264TB nvme and 400TB HDD of shared storage, all connected by a 100Gbps backbone network. In addition, we currently have 251,392 cuda cores, 720GB graphics memory, 1,179.42 peak FP16 TFLOPS, and 828.6 peak FP32 TFLOPS. HERMES is capable of processing a year’s worth of work on a personal computer in just 3 hours, greatly accelerating the work of researchers. Technical staff maintain the system and offer technical support, advice on parallel and high-performance supercomputing.

Highlighted figures:

  • +3,260 Cores
  • +5920 Threads
  • 26TB RAM
  • 264TB NVMe
  • 400TB HDD
  • 100 Gbps backbone
  • 251,392 CUDA cores
  • 720 GB Graphics memory
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U25-E10. Animal housing

Animal housing room and animal preparation area equipped with a vital constants monitoring system, 2 full sets of anesthesia equipment, water bath, infrared lamp, injection pump, etc.

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U25-E11. Software packages

Software packages for data acquisition and processing:

  • Paravision, Topspin and Amix.
  • Users will have access to the database of spectra of diffe¬rent substances for metabolomics through this ac¬cess http://sermn. uab.cat/wiki/doku.php?id=bbiorefcode. This database is installed in a SeRMN computer, fully accessible to facility users.
  • The AMIX software page (http://www.bruker-biospin.com/amix. html) contains more information about its different applications: analysis of mixtures, metabolomic stu-dies, etc.
  • Other packages include the INTERPRET decision-support system for human brain tumour diagnosis based on MRS and SpectraClassifier, for pattern recognition of in vivo MRS data single and multivoxel are developed and distributed through the platform (http://gabrmn.uab.es).
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U25-S03. NMR spectrometer 400 MHz with HRMAS/CPMAS probes (Onsite&Remote) OUTSTANDING

NMR spectrometer 400 MHz with HRMAS/CPMAS probes (Onsite&Remote) OUTSTANDING

400 MHz: AVANCE III console, probes 4mm HRMAS BBI 1H/13C/31P/D, with Z-gradients, 4mm MAS VTN 1H/BB for solid-state, and BCU Xtreme unit for sample temperature control

Customer benefits

HRMAS allows for high-resolution NMR spectra of semi-solid and solid samples by spinning the sample at the magic angle, which minimizes broadening due to sample heterogeneity and anisotropic interactions. Also, potential for characterization of polymers, catalysts, porous materials, and nanomaterials, providing insights into molecular structure, dynamics, and interactions. CPMAS NMR is particularly useful for studying crystalline materials, including organic and inorganic compounds, minerals, and pharmaceuticals. It provides information about chemical composition, crystal structure, and molecular dynamics.

Target customer

Researchers or companies with needs to study solid or semisolid samples regarding structure, characterization, interactions or composition.

References

  • Jiménez-Xarrié E, et al. In vivo and ex vivo magnetic resonance spectroscopy of the infarct and the subventricular zone in experimental stroke. J Cereb Blood Flow Metab. 2015 May;35(5):828-34. doi: 10.1038/jcbfm.2014.257. Epub 2015 Jan 21. PMID: 25605287; PMCID: PMC4420856.
  • Delgado-Goñi T, et al. Assessment of a 1H high-resolution magic angle spinning NMR spectroscopy procedure for free sugars quantification in intact plant tissue. Planta. 2013 Aug;238(2):397-413. doi: 10.1007/s00425-013-1924-y. Epub 2013 Jul 4. PMID: 23824526.
  • Martín-Sitjar J, et al. Influence of the spinning rate in the HR-MAS pattern of mobile lipids in C6 glioma cells and in artificial oil bodies. MAGMA. 2012 Dec;25(6):487-96. doi: 10.1007/s10334-012-0327-6. Epub 2012 Jul 20. PMID: 23011574.
  • Valverde-Saubí D, et al. Short-term temperature effect on the HRMAS spectra of human brain tumor biopsies and their pattern recognition analysis. MAGMA. 2010 Sep;23(4):203-15. doi: 10.1007/s10334-010-0218-7. Epub 2010 Jun 13. PMID: 20549297.
  • Simões RV, et al. 1H-MRSI pattern perturbation in a mouse glioma: the effects of acute hyperglycemia and moderate hypothermia. NMR Biomed. 2010 Jan;23(1):23-33. doi: 10.1002/nbm.1421. PMID: 19670263.
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U25-S05. Preclinical horizontal spectrometer Biospec 7T (Onsite&Remote) OUTSTANDING

Preclinical horizontal spectrometer Biospec 7T (Onsite&Remote) OUTSTANDING

7T Bruker BioSpec 70/30 USR MR system (Bruker BioSpin GmbH, Karlsruhe, Germany) equipped with a BGA12 mini-imaging gradient insert (maximum amplitude: 400 mT/m and slew rate: 5500 T/m/s). Capability for magnetic resonance imaging and spectroscopy of small animals (e.g. mouse, rat) and studies of model solutions (e.g. new contrast agents). Also capabilities for advanced imaging techniques such as diffusion and perfusion weighted images and fractional anisotropy. Coupled with anaesthetic equipment and vital signs monitoring for in vivo experiments.

Customer benefits

Noninvasive studies of anatomy and biochemical environment depending on the organ. Studies of physiological and pathological anatomy changes with a high resolution level. Magnetic resonance is not based on ionizing radiation and can be performed as many times as needed. Assessment of new therapeutic agents efficacy and novel contrast agents potential. T1, T2 and T2* maps measurement.

Target customer

Research groups or companies working with preclinical models, novel therapeutic or contrast agents, characterization of novel preclinical models based in cancer, inflammatory or neurological diseases.

References

  • Zhang S, et al. Metal-Free Radical Dendrimers as MRI Contrast Agents for Glioblastoma Diagnosis: Ex Vivo and In Vivo Approaches. Biomacromolecules. 2022 Jul 11;23(7):2767-2777. doi: 10.1021/acs.biomac.2c00088. Epub 2022 Jun 24. PMID: 35749573; PMCID: PMC9277593.
  • García-Pardo J, et al. Bioinspired Theranostic Coordination Polymer Nanoparticles for Intranasal Dopamine Replacement in Parkinson’s Disease. ACS Nano. 2021 May 25;15(5):8592-8609. doi: 10.1021/acsnano.1c00453. Epub 2021 Apr 22. PMID: 33885286; PMCID: PMC8558863.
  • Wu S, et al. Anti-tumour immune response in GL261 glioblastoma generated by Temozolomide Immune-Enhancing Metronomic Schedule monitored with MRSI-based nosological images. NMR Biomed. 2020 Apr;33(4):e4229. doi: 10.1002/nbm.4229. Epub 2020 Jan 11. PMID: 31926117.
  • Güell-Bosch J, et al. Progression of Alzheimer’s disease and effect of scFv-h3D6 immunotherapy in the 3xTg-AD mouse model: An in vivo longitudinal study using Magnetic Resonance Imaging and Spectroscopy. NMR Biomed. 2020 May;33(5):e4263. doi: 10.1002/nbm.4263. Epub 2020 Feb 17. PMID: 32067292.
  • Suárez-García S, et al. Dual T1/ T2 Nanoscale Coordination Polymers as Novel Contrast Agents for MRI: A Preclinical Study for Brain Tumor. ACS Appl Mater Interfaces. 2018 Nov 14;10(45):38819-38832. doi: 10.1021/acsami.8b15594. Epub 2018 Nov 1. PMID: 30351897.
  • Lope-Piedrafita, S. (2018). Diffusion Tensor Imaging (DTI). In: García Martín, M., López Larrubia, P. (eds) Preclinical MRI. Methods in Molecular Biology, vol 1718. Humana Press, New York, NY. doi: 10.1007/978-1-4939-7531-0_7
  • Arias-Ramos N, et al. Metabolomics of Therapy Response in Preclinical Glioblastoma: A Multi-Slice MRSI-Based Volumetric Analysis for Noninvasive Assessment of Temozolomide Treatment. Metabolites. 2017 May 18;7(2):20. doi: 10.3390/metabo7020020. PMID: 28524099; PMCID: PMC5487991.
  • Jiménez-Xarrié E, et al. Brain metabolic pattern analysis using a magnetic resonance spectra classification software in experimental stroke. BMC Neurosci. 2017 Jan 13;18(1):13. doi: 10.1186/s12868-016-0328-x. PMID: 28086802; PMCID: PMC5237280.
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