Biomedical subjects
Publications and source records attributed to Samuel Choi.
A novel interferometry technique using a frequency-comb light source is proposed for surface profilometry and tomography of discontinuous objects. Surface profile measurement is performed by sweeping the comb interval frequency without mechanical scanning. Step heights of 0.5 and 1.0 mm are successfully measured by use of the scheme with 9 mum accuracy.
Real-time PCR was applied to quantify the abundance of human adenoviruses in two southern California urban rivers, the San Gabriel and Los Angeles. A total of 114 river samples from five different locations were collected over a 1-year period and analyzed for human adenoviruses, along with fecal indicator bacteria and coliphages. Adenoviruses were detected by real-time PCR in approximately 16% of the samples, with concentrations ranging from 10(2) to 10(4) genomes per liter. However, a plaque assay using two human tissue culture cell lines, HEK-293A and A549, yielded negative results, suggesting that adenoviruses detected by real-time PCR are likely noninfectious. Enterovirus genome was detected in approximately 7% of the samples by reverse transcription-PCR. Analysis by Spearman's rho rank order correlation showed significant correlations between fecal indicator bacteria and indicator virus (total coliform, fecal coliform, enterococcus, and coliphage values). However, no significant correlations were found between human adenoviruses quantified by real-time PCR and culturable coliphages or fecal indicator bacteria. Kruskal-Wallis chi-square analysis showed significant seasonal variability of all fecal indicator bacteria and coliphages, while no significant variability was observed for adenoviruses or enteroviruses. This study presents the first quantitative measurement of human adenovirus genomes in urban rivers and their statistical relationship to fecal indicator bacteria and coliphages. The uncoupling between high-number genome copies of adenoviruses detected by real-time PCR and the absence of infectivity detected by tissue culture suggests that genome-based detection methods are inadequate for direct assessment of human health risk.
Huntington Beach, California, one of the most popular surfing spots in the world, is plagued by sporadic, elevated levels of fecal bacteria. To assist with pollution source identification, we analyzed antibiotic resistance patterns (ARPs) of enterococci from four known sources (bird feces, urban runoff, coastal marsh sediment and sewage effluent from local sanitation district) and one unknown source (seawater) using seven antibiotics at four concentrations each. Of 2491 enterococci tested, all were resistant to at least one antibiotic at some level. Discriminant analysis indicated that the average correct classification rates for bird feces and urban runoff sources were above 80%. Sewage effluent contained mixed fecal sources. Sixty-four percent of the sewage isolates classified with the sewage category, while the other 35% of isolates were assigned evenly across the other three categories. When enterococci isolated from the seawater were classified using the known ARP database, it was evident that bird feces were the source of surf zone contamination on some days while the coastal salt marsh and sewage plume may have impacted the surf zone water quality to various degrees during other times.