Michael S. Bartsch
Sandia National Laboratories
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Publication
Featured researches published by Michael S. Bartsch.
Journal of Laboratory Automation | 2011
Hanyoup Kim; Michael S. Bartsch; Ronald F. Renzi; Jim He; James L. Van De Vreugde; Mark R. Claudnic; Kamlesh D. Patel
Next-generation sequencing (NGS) technology is a promising tool for identifying and characterizing unknown pathogens, but its usefulness in time-critical biodefense and public health applications is currently limited by the lack of fast, efficient, and reliable automated DNA sample preparation methods. To address this limitation, we are developing a digital microfluidic (DMF) platform to function as a fluid distribution hub, enabling the integration of multiple subsystem modules into an automated NGS library sample preparation system. A novel capillary interface enables highly repeatable transfer of liquid between the DMF device and the external fluidic modules, allowing both continuous-flow and droplet-based sample manipulations to be performed in one integrated system. Here, we highlight the utility of the DMF hub platform and capillary interface for automating two key operations in the NGS sample preparation workflow. Using an in-line contactless conductivity detector in conjunction with the capillary interface, we demonstrate closed-loop automated fraction collection of target analytes from a continuous-flow sample stream into droplets on the DMF device. Buffer exchange and sample cleanup, the most repeated steps in NGS library preparation, are also demonstrated on the DMF platform using a magnetic bead assay and achieving an average DNA recovery efficiency of 80% ± 4.8%.
PLOS ONE | 2013
Hanyoup Kim; Mais J. Jebrail; Anupama Sinha; Zachary W. Bent; Owen David Solberg; Kelly P. Williams; Stanley A. Langevin; Ronald F. Renzi; James L. Van De Vreugde; Robert J. Meagher; Joseph S. Schoeniger; Todd W. Lane; Steven S. Branda; Michael S. Bartsch; Kamlesh D. Patel
Next-generation sequencing (NGS) is emerging as a powerful tool for elucidating genetic information for a wide range of applications. Unfortunately, the surging popularity of NGS has not yet been accompanied by an improvement in automated techniques for preparing formatted sequencing libraries. To address this challenge, we have developed a prototype microfluidic system for preparing sequencer-ready DNA libraries for analysis by Illumina sequencing. Our system combines droplet-based digital microfluidic (DMF) sample handling with peripheral modules to create a fully-integrated, sample-in library-out platform. In this report, we use our automated system to prepare NGS libraries from samples of human and bacterial genomic DNA. E. coli libraries prepared on-device from 5 ng of total DNA yielded excellent sequence coverage over the entire bacterial genome, with >99% alignment to the reference genome, even genome coverage, and good quality scores. Furthermore, we produced a de novo assembly on a previously unsequenced multi-drug resistant Klebsiella pneumoniae strain BAA-2146 (KpnNDM). The new method described here is fast, robust, scalable, and automated. Our device for library preparation will assist in the integration of NGS technology into a wide variety of laboratories, including small research laboratories and clinical laboratories.
Electrophoresis | 2012
Numrin Thaitrong; Hanyoup Kim; Ronald F. Renzi; Michael S. Bartsch; Robert J. Meagher; Kamlesh D. Patel
We have developed an automated quality control (QC) platform for next‐generation sequencing (NGS) library characterization by integrating a droplet‐based digital microfluidic (DMF) system with a capillary‐based reagent delivery unit and a quantitative CE module. Using an in‐plane capillary–DMF interface, a prepared sample droplet was actuated into position between the ground electrode and the inlet of the separation capillary to complete the circuit for an electrokinetic injection. Using a DNA ladder as an internal standard, the CE module with a compact LIF detector was capable of detecting dsDNA in the range of 5–100 pg/μL, suitable for the amount of DNA required by the Illumina Genome Analyzer sequencing platform. This DMF‐CE platform consumes tenfold less sample volume than the current Agilent BioAnalyzer QC technique, preserving precious sample while providing necessary sensitivity and accuracy for optimal sequencing performance. The ability of this microfluidic system to validate NGS library preparation was demonstrated by examining the effects of limited‐cycle PCR amplification on the size distribution and the yield of Illumina‐compatible libraries, demonstrating that as few as ten cycles of PCR bias the size distribution of the library toward undesirable larger fragments.
PLOS ONE | 2015
Michael S. Bartsch; Harrison S. Edwards; Daniel Lee; Caroline E. Moseley; Karen E. Tew; Ronald F. Renzi; James L. Van De Vreugde; Hanyoup Kim; Daniel L. Knight; Anupama Sinha; Steven S. Branda; Kamlesh D. Patel
Advances in molecular biology, microfluidics, and laboratory automation continue to expand the accessibility and applicability of these methods beyond the confines of conventional, centralized laboratory facilities and into point of use roles in clinical, military, forensic, and field-deployed applications. As a result, there is a growing need to adapt the unit operations of molecular biology (e.g., aliquoting, centrifuging, mixing, and thermal cycling) to compact, portable, low-power, and automation-ready formats. Here we present one such adaptation, the rotary zone thermal cycler (RZTC), a novel wheel-based device capable of cycling up to four different fixed-temperature blocks into contact with a stationary 4-microliter capillary-bound sample to realize 1-3 second transitions with steady state heater power of less than 10 W. We demonstrate the utility of the RZTC for DNA amplification as part of a highly integrated rotary zone PCR (rzPCR) system that uses low-volume valves and syringe-based fluid handling to automate sample loading and unloading, thermal cycling, and between-run cleaning functionalities in a compact, modular form factor. In addition to characterizing the performance of the RZTC and the efficacy of different online cleaning protocols, we present preliminary results for rapid single-plex PCR, multiplex short tandem repeat (STR) amplification, and second strand cDNA synthesis.
TRANSDUCERS 2007 - 2007 International Solid-State Sensors, Actuators and Microsystems Conference | 2007
Michael S. Bartsch; Matthew H. McCrink; Robert W. Crocker; Bruce P. Mosier; Kenneth A. Peterson; Karl Wally; Kamlesh D. Patel
For most orbital maneuvers, small satellites in the sub-10 kg range require thrusters capable of spanning the micro-Newton to milli-Newton force range. At this scale, electrokinetic (EK) pumping offers precise metering of monergolic or hypergolic liquid propellants under purely electrical control at pressures and flow rates well-suited to microthruster applications. We have demonstrated direct and indirect EK pumping for delivery of anhydrous hydrazine and hydrogen peroxide monopropellants, respectively, into capillary-based microthrusters with integrated in-line catalyst beds. Catalytic decomposition generates gases which accelerate through a plasma-formed converging-diverging nozzle, producing thrust. Specific impulses up to 190 s have been shown for hydrazine in non-optimized nozzles.
Scientific Reports | 2018
Raga Krishnakumar; Anupama Sinha; Sara W. Bird; Harikrishnan Jayamohan; Harrison S. Edwards; Joseph S. Schoeniger; Kamlesh D. Patel; Steven S. Branda; Michael S. Bartsch
Emerging sequencing technologies are allowing us to characterize environmental, clinical and laboratory samples with increasing speed and detail, including real-time analysis and interpretation of data. One example of this is being able to rapidly and accurately detect a wide range of pathogenic organisms, both in the clinic and the field. Genomes can have radically different GC content however, such that accurate sequence analysis can be challenging depending upon the technology used. Here, we have characterized the performance of the Oxford MinION nanopore sequencer for detection and evaluation of organisms with a range of genomic nucleotide bias. We have diagnosed the quality of base-calling across individual reads and discovered that the position within the read affects base-calling and quality scores. Finally, we have evaluated the performance of the current state-of-the-art neural network-based MinION basecaller, characterizing its behavior with respect to systemic errors as well as context- and sequence-specific errors. Overall, we present a detailed characterization the capabilities of the MinION in terms of generating high-accuracy sequence data from genomes with a wide range of nucleotide content. This study provides a framework for designing the appropriate experiments that are the likely to lead to accurate and rapid field-forward diagnostics.
Lab on a Chip | 2012
Mais J. Jebrail; Michael S. Bartsch; Kamlesh D. Patel
Sensors and Actuators B-chemical | 2008
Kamlesh D. Patel; Michael S. Bartsch; Matthew H. McCrink; Bruce P. Mosier; Robert W. Crocker
Archive | 2010
Michael S. Bartsch; Michael P. Kanouff; Scott M. Ferko; Robert W. Crocker; Karl Wally
Archive | 2012
Michael S. Bartsch; Mark R. Claudnic; Hanyoup Kim; Kamlesh D. Patel; Ronald F. Renzi; James L. Van De Vreugde