A5037568283- Microfluidic and Bio-sensing Technologies
- Cell Image Analysis Techniques
- Bone Tissue Engineering Materials
- Parasitic Infections and Diagnostics
- 3D Printing in Biomedical Research
- Cellular Mechanics and Interactions
- Lattice Boltzmann Simulation Studies
- Marine and coastal ecosystems
- Bacteriophages and microbial interactions
- Bacterial Identification and Susceptibility Testing
- Microbial Community Ecology and Physiology
- Digital Holography and Microscopy
University of California, Los Angeles
2020-2022
Bioengineering Center
2021
Environmental factors such as temperature, nutrients, and pollutants affect the growth rates physical characteristics of microalgae populations. As algae play a vital role in marine ecosystems, monitoring is important to observe state an ecosystem. However, analyzing these populations using conventional light microscopy time-consuming requires experts both identify count algal cells, which turn considerably limits volume samples that can be measured each experiment. In this work we use...
We report a field-portable and cost-effective imaging flow cytometer that uses deep learning to accurately detect Giardia lamblia cysts in water samples at volumetric throughput of 100 mL/h. This lensfree color holographic capture reconstruct phase intensity images microscopic objects continuously flowing sample, automatically identifies Lamblia real-time without the use any labels or fluorophores. The is housed an environmentally-sealed enclosure with dimensions 19 cm x 16 weighs 1.6 kg....
Cell-matrix interactions mediate complex physiological processes through biochemical, mechanical, and geometrical cues, influencing pathological changes therapeutic responses. Accounting for matrix effects earlier in the drug development pipeline is expected to increase likelihood of clinical success novel therapeutics. Biomaterial-based strategies recapitulating specific tissue microenvironments 3D cell culture exist but integrating these with 2D methods primarily used screening has been...
Cell-matrix interactions mediate complex physiological processes through biochemical, mechanical, and geometrical cues, influencing pathological changes therapeutic responses. Accounting for matrix effects earlier in the drug development pipeline is expected to increase likelihood of clinical success novel therapeutics. Biomaterial-based strategies recapitulating specific tissue microenvironments 3D cell culture exist but integrating these with 2D methods primarily used screening has been...
We report a field-portable and high-throughput imaging flow-cytometer to perform label-free phenotypic analysis of microalgae populations by extracting processing the spatial spectral features their reconstructed holographic images using deep learning.
We report a label-free, field-portable, holographic imaging flow cytometer that can automatically detect and count Giardia lamblia cysts in water samples with throughput of 100 mL/h. Our has the dimensions 19×19×16 cm laptop computer-connected to it reconstructs phase intensity images flowing microparticles sample at three different wavelengths classifies them by trained convolutional neural network, thereby detecting real time. experimentally demonstrated our system contamination fresh...
We present a field-portable and high-throughput imaging flow-cytometer, which performs phenotypic analysis of microalgae using image processing deep learning. This computational cytometer weighs ~1.6kg, captures holographic images water samples containing microalgae, flowing in microfluidic channel at rate 100mL/h. Automated is performed by extracting the spatial spectral features reconstructed to automatically identify/count target algae within sample, convolutional neural networks. Changes...
We present a field-portable and label-free holographic imaging flow-cytometer, which quantifies the amount of Giardia lamblia cysts in water samples with detection limit <10 per 50 mL at throughput 100 mL/h.