Biotechnology

Toxicity of nanoplastics to zooplankton is influenced by temperature, salinity, and natural particulate matter

Toxicity of nanoplastics to zooplankton is influenced by temperature, salinity, and natural particulate matter

Lins, T. F., O’Brien, A. M., Kose, T., Rochman, C. M., and Sinton, D. Environmental Science.: Nano (2022). doi:10.1039/D2EN00123C

Nanoplastic State and Fate in Aquatic Environments: Multiscale Modeling

Nanoplastic State and Fate in Aquatic Environments: Multiscale Modeling

Lins, T. F., O’Brien, A. M., Zargartalebi, M., and Sinton, D., Environmental Science & Technology 56, 4017–4028, (2022), https://doi.org/10.1021/acs.est.1c03922

Microplastics shift impacts of climate change on a plant-microbe mutualism: Temperature, CO2, and tire wear particles

Microplastics shift impacts of climate change on a plant-microbe mutualism: Temperature, CO2, and tire wear particles

O’Brien, A.M., Lins, T.F., Yang, Y., Frederickson, M.E., Sinton, D., and Rochman, C.M., Environmental Research 203, 111727, (2022), https://doi.org/10.1016/j.envres.2021.111727

Effects of Hydrogen Peroxide on Cyanobacterium Microcystis aeruginosa in the Presence of Nanoplastics

Effects of Hydrogen Peroxide on Cyanobacterium Microcystis aeruginosa in the Presence of Nanoplastics

Guo, Y., O’Brien, A.M., Lins, T.F., Shahmohamadloo, R.S., Almirall, X.O., Rochman, C.M., and Sinton, D., ACS ES&T Water, (2021), https://doi.org/10.1021/acsestwater.1c00090

Machine learning for sperm selection

Machine learning for sperm selection

You, J.B., McCallum, C., Wang, Y., Riordon, J., Nosrati, R., and Sinton, D., Nature Reviews Urology 1–17, (2021), https://doi.org/10.1038/s41585-021-00465-1

Selection of high-quality sperm with thousands of parallel channels

Selection of high-quality sperm with thousands of parallel channels

Simchi, M., Riordon, J., You, J.B., Wang, Y., Xiao, S., Lagunov, A., Hannam, T., Jarvi, K., Nosrati, R., and Sinton, D., Lab on a Chip, (2021), https://doi.org/10.1039/D0LC01182G

FertDish: microfluidic sperm selection-in-a-dish for intracytoplasmic sperm injection

FertDish: microfluidic sperm selection-in-a-dish for intracytoplasmic sperm injection

Xiao, S., Riordon, J., Simchi, M., Lagunov, A., Hannam, T., Jarvi, K., Nosrati, R., and Sinton, D., FertDish: microfluidic sperm selection-in-a-dish for intracytoplasmic sperm injection. Lab. Chip 21, 775–783, (2021), https://doi.org/10.1039/D0LC00874E

Biological Responses to Climate Change and Nanoplastics Are Altered in Concert: Full-Factor Screening Reveals Effects of Multiple Stressors on Primary Producers

Biological Responses to Climate Change and Nanoplastics Are Altered in Concert: Full-Factor Screening Reveals Effects of Multiple Stressors on Primary Producers

Yang, Y., Guo, Y., O’Brien, A.M., Lins, T.F., Rochman, C.M., and Sinton, D., Environ. Sci. Technol., (2020), https://doi.org/10.1021/acs.est.9b07040

Fluorescent dyes for visualizing microplastic particles and fibers in laboratory-based studies

Fluorescent dyes for visualizing microplastic particles and fibers in laboratory-based studies

Karakolis, Evan, Nguyen, B., You, J.B., Rochman, C.M. and Sinton, D. Environ. Sci. Technol. Lett., (2019), https://doi.org/10.1021/acs.estlett.9b00241

Deep learning-based selection of human sperm with high DNA integrity

Deep learning-based selection of human sperm with high DNA integrity

McCallum, C., Riordon, J., Wang, Y., Kong, T., You, J.B., Sanner, S., Lagunov, A., Hannam, T.G., Jarvi, K., Sinton, D., Communications Biology 2, 250, (2019), https://doi.org/10.1038/s42003-019-0491-6

Deep learning for the classification of human sperm

Deep learning for the classification of human sperm

Riordon, J., McCallum, C., and Sinton, D., Deep learning for the classification of human sperm, Computers in Biology and Medicine, Accepted June 22, 2019.