DataVXNanoscalePaper
journal article·2020

Rapid prediction of drug inhibition under heat stress: single-photon imaging combined with a convolutional neural network

Hongxin Lin, Jianlei Xie, Taojian Fan, Youwu He, Jianxin Chen, Han Zhang, Shuangmu Zhuo

Nanoscale· Volume 12· Issue 45
Publisher page
Source abstract

Abstract

A method of predicting cellular drug inhibition due to heat stress is presented. Black phosphorus nanosheets are used as photothermal agents to induce stress granule formation in tumor cells. The addition of different drugs induces different thermal stress responses. The features of single-photon images are automatically extracted and analyzed by a convolutional neural network algorithm for classification and recognition, with a maximum accuracy rate of 94.52%. Unlike traditional visual discrimination, this method realizes intelligent recognition without human intervention, providing a new model for computer-aided diagnosis with greater objectivity.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗

Research context

Nanomaterials

OpenAlex topics: Advanced Fluorescence Microscopy Techniques · Spectroscopy Techniques in Biomedical and Chemical Research · Heat shock proteins research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education & Fujian Provincial Key Laboratory of Photonics Technology

Fujian Normal University

Fuzhou

China

Shenzhen Engineering Laboratory of Phosphorene and Optoelectronics and Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province

Shenzhen University

Shenzhen

School of Science

Jimei University

Xiamen

Funding

National Natural Science Foundation of China · Natural Science Foundation of Fujian Province

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