Machine learning based approach to pH imaging and classification of single cancer cells-Reference-Cited by-同舟云学术

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Machine learning based approach to pH imaging and classification of single cancer cells

Published:2021-03-01 Issue:1 Volume:5 Page:016105
ISSN:2473-2877
Container-title:APL Bioengineering
language:en
Short-container-title:APL Bioengineering

Author:

Belotti Y.¹^ORCID,Jokhun D. S.²^ORCID,Ponnambalam J. S.²,Valerio V. L. M.²,Lim C. T.¹²³^ORCID

Affiliation:

1. Institute for Health Innovation and Technology, National University of Singapore, 117599 Singapore, Singapore

2. Department of Biomedical Engineering, National University of Singapore, 117583 Singapore, Singapore

3. Mechanobiology Institute, National University of Singapore, 117411 Singapore, Singapore

Funder

Institute for Health Innovation and Technology

Publisher

AIP Publishing

Subject

Biomedical Engineering,Biomaterials,Biophysics,Bioengineering

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0031615

Reference52 articles.

1. Phototoxicity in live fluorescence microscopy, and how to avoid it

2. A Quantitative Method for Measuring Phototoxicity of a Live Cell Imaging Microscope

3. Fading of immunofluorescence during microscopy: a study of the phenomenon and its remedy

4. Ptychography – a label free, high-contrast imaging technique for live cells using quantitative phase information

5. Cell migration requires both ion translocation and cytoskeletal anchoring by the Na-H exchanger NHE1

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1. Machine Learning-Assisted Cell Identification Based on Ion Current Fingerprints of Single Cells at the Orifice of a Nanopipette;CCS Chemistry;2024-06-22

2. Iridium oxide and cobalt hydroxide microfluidic-based potentiometric pH sensor;Microchimica Acta;2023-11

3. Deep convolutional neural network accurately classifies different types of bladder cancer cells based on their pH fingerprints and morphology;AIP Advances;2023-05-01

4. Nanocellulose composite wound dressings for real-time pH wound monitoring;Materials Today Bio;2023-04

5. Iridium Oxide and Cobalt Hydroxide Microfluidic-Based Solid-State Ph Sensor Measured in Microliter (Μl) Volume and its Application in Human Serum Sample Measurements;2023

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