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Biology subjects

Cheng, M.-C.

Publications and source records attributed to Cheng, M.-C..

3 recordsLinked to original sources

Quantitative Real-Time PCR Detection of Inactivated H5 Avian Influenza Virus in Raw Milk Samples by Miniaturized Instruments Designed for On-Site Testing

Highly Pathogenic Avian Influenza Virus of H5 (HPAI A(H5N1)) subtype has emerged as one of the most important zoonotic pathogens with significant economic consequences. The recent outbreak of H5N1 avian influenza in dairy cattle in the United States highlights the importance of early detection in managing and mitigating HPAI A(H5N1) outbreaks. A new diagnostic platform (the MT platform) consisting of miniaturized instruments for DNA/RNA purification and RT-rtPCR, designed for mobilse, on-site testing, is compared with a platform of benchtop instruments (QIAGEN RNeasy and QuantStudio5) for detecting inactivated HPAI A(H5N1) virus spiked into raw milk samples. Results show that, despite the presence of inhibitors in raw milk, HPAI A(H5N1) virus can be detected in all samples using both platforms. The MT platform shows higher sensitivity than the benchtop platform: the MT Ct values are [~]2 units lower than the benchtop Ct values. Our findings demonstrate the robustness of the MT platform for detecting HPAI A(H5N1) virus in raw milk samples and support its use as an on-site detection and screening for rapid surveillance and response.

microbiology↗

A parallelly distributed microscope and software system for scalable high-throughput multispectral 3D imaging

Recent advances in high throughput optical microscopy have achieved whole-organism scale imaging at diffraction-limited resolutions. Current microscopes, however, require making compromises between achieving the optimal resolution, imaging depth, multispectral capability, and data throughput due to limitations in optical design and data stream handling. We have created a parallel-line scanning confocal microscope (plSCM) which provides 1.1 Gigavoxels/second high speed imaging while achieving an optical resolution of [~]180 x 220 x 650 nm with 2 millimeters of imaging depth in 3 simultaneous spectral channels. To handle such a massive imaging data stream, we have engineered a scalable network-distributed image acquisition/processing framework (SNDiF), which allows continuous capture, real-time processing, and cluster storage of petabyte-scale single image datasets in days. Together, our parallelly distributed microscope and software system presents a general solution for large-scale high-throughput and high-resolution multicolor imaging which can operate for days at a time.

bioengineering↗

A browser-based platform for storage, visualization, and analysis of large-scale 3D images in HPC environments

High-throughput microscopy necessitates 3D image storage, visualization, and analysis in terabyte to petabyte scales. Centralized high-performance computing (HPC) infrastructure provides the resources, but interfacing software is limited. We developed an extensible platform with a scalable image storage format (SISF) and content delivery network (CDN) to enable fast, random access to compressed data. Additionally, we built a cloud-based nTracer2 software to annotate neuron morphology from SISF images in a web browser.

bioinformatics↗