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Rajesh Ghosh
Rajesh Ghosh
Verified email at imail.iitm.ac.in
Title
Cited by
Cited by
Year
Fabrication of laser printed microfluidic paper-based analytical devices (LP-µPADs) for point-of-care applications
R Ghosh, S Gopalakrishnan, R Savitha, T Renganathan, S Pushpavanam
Scientific reports 9 (1), 7896, 2019
1122019
Removal of trace hexavalent chromium from aqueous solutions by ion foam fractionation
R Ghosh, A Sahu, S Pushpavanam
Journal of hazardous materials 367, 589-598, 2019
592019
Single-cell sorting based on secreted products for functionally defined cell therapies
H Miwa, R Dimatteo, J de Rutte, R Ghosh, D Di Carlo
Microsystems & Nanoengineering 8 (1), 84, 2022
202022
Enhancement of limit of detection by inducing coffee-ring effect in water quality monitoring microfluidic paper-based devices
R Ghosh, V Vaishampayan, A Mahapatra, R Malhotra, ...
Desalination and Water Treatment 156, 316-322, 2019
192019
Adsorption of Fluoroquinolone Antibiotics at the Gas–Liquid Interface Using Ionic Surfactants
R Ghosh, H Hareendran, P Subramaniam
Langmuir 35 (39), 12839-12850, 2019
162019
Sensitive and selective determination of triclosan using visual spectroscopy
S Gopalakrishnan, R Ghosh, T Renganathan, S Pushpavanam
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 254, 119623, 2021
112021
Lab-on-a-chip: a potential tool for enhancing teaching-learning in developing countries using paper microfluidics
A Kapoor, S Balasubramanian, V Vaishampayan, R Ghosh
2017 International Conference on Transforming Engineering Education (ICTEE), 1-7, 2017
92017
Deep Learning‐Enabled Multiplexed Point‐of‐Care Sensor using a Paper‐Based Fluorescence Vertical Flow Assay
A Goncharov, HA Joung, R Ghosh, GR Han, ZS Ballard, Q Maloney, ...
Small 19 (51), 2300617, 2023
72023
Adsorptive colorimetric determination of chromium (VI) ions at ultratrace levels using amine functionalized mesoporous silica
R Ghosh, S Gopalakrishnan, T Renganathan, S Pushpavanam
Scientific Reports 12 (1), 5673, 2022
72022
Single-tier point-of-care serodiagnosis of Lyme disease
R Ghosh, HA Joung, A Goncharov, B Palanisamy, K Ngo, K Pejcinovic, ...
bioRxiv, 2023
22023
Fabrication of Laser Printed Microfluidic Paper-Based Analytical Devices for Point-of-Care Applications
R Ghosh, S Gopalakrishnan, R Savitha, T Renganathan, S Pushpavanam
2019 AIChE Annual Meeting, 2019
12019
Lab on a Particle Technologies
R Ghosh, A Arnheim, M van Zee, L Shang, C Soemardy, RC Tang, ...
Analytical Chemistry, 2024
2024
Peptide-based point-of-care serodiagnosis of Lyme disease enabled by deep-learning
A Goncharov, HA Joung, R Ghosh, K Ngo, B Palanisamy, EJ Horn, ...
Optics and Biophotonics in Low-Resource Settings X, PC128320I, 2024
2024
Multiplexed quantification of biomarkers using deep learning-based fluorescent vertical flow assay
A Goncharov, HA Joung, R Ghosh, GR Han, ZS Ballard, Q Maloney, ...
Optics and Biophotonics in Low-Resource Settings X, PC128320H, 2024
2024
A paper-based multiplexed serological test to monitor immunity against SARS-CoV-2 using machine learning
M Eryilmaz, A Goncharov, GR Han, HA Joung, ZS Ballard, R Ghosh, ...
arXiv preprint arXiv:2402.17774, 2024
2024
Deep learning-enhanced paper-based vertical flow assay for high-sensitivity troponin detection using nanoparticle amplification
GR Han, A Goncharov, M Eryilmaz, HA Joung, R Ghosh, G Yim, N Chang, ...
arXiv preprint arXiv:2402.11195, 2024
2024
Deep Learning‐Enabled Multiplexed Point‐of‐Care Sensor using a Paper‐Based Fluorescence Vertical Flow Assay (Small 51/2023)
A Goncharov, HA Joung, R Ghosh, GR Han, ZS Ballard, Q Maloney, ...
Small 19 (51), 2370431, 2023
2023
PicoShells: A Tool for Screening Millions of Protein Variants in Application-Relevant Environments
M van Zee, R Ghosh, T Vernon, I Yamaguchi, C Williamson, W Vo, ...
PROTEIN SCIENCE 32 (12), 2023
2023
Deep learning-enabled fluorescent point-of-care sensor for multiplexed quantification of biomarkers from serum
A Goncharov, HA Joung, R Ghosh, GR Han, ZS Ballard, Q Maloney, ...
Emerging Topics in Artificial Intelligence (ETAI) 2023 12655, 126550D, 2023
2023
Deep-learning enabled point-of-care sensor for Lyme disease diagnosis
HA Joung, R Ghosh, A Goncharov, B Palanisamy, K Ngo, K Pejcinovic, ...
Emerging Topics in Artificial Intelligence (ETAI) 2023, PC1265505, 2023
2023
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