8 research outputs found
Computer Vision-Based Artificial Intelligence-Mediated Encoding-Decoding for Multiplexed Microfluidic Digital Immunoassay
Digital immunoassays with multiplexed capacity, ultrahigh
sensitivity,
and broad affordability are urgently required in clinical diagnosis,
food safety, and environmental monitoring. In this work, a multidimensional
digital immunoassay has been developed through microparticle-based
encoding and artificial intelligence-based decoding, enabling multiplexed
detection with high sensitivity and convenient operation. The information
encoded in the features of microspheres, including their size, number,
and color, allows for the simultaneous identification and accurate
quantification of multiple targets. Computer vision-based artificial
intelligence can analyze the microscopy images for information decoding
and output identification results visually. Moreover, the optical
microscopy imaging can be well integrated with the microfluidic platform,
allowing for encoding-decoding through the computer vision-based
artificial intelligence. This microfluidic digital immunoassay can
simultaneously analyze multiple inflammatory markers and antibiotics
within 30 min with high sensitivity and a broad detection range from
pg/mL to μg/mL, which holds great promise as an intelligent
bioassay for next-generation multiplexed biosensing
Computer Vision-Based Artificial Intelligence-Mediated Encoding-Decoding for Multiplexed Microfluidic Digital Immunoassay
Digital immunoassays with multiplexed capacity, ultrahigh
sensitivity,
and broad affordability are urgently required in clinical diagnosis,
food safety, and environmental monitoring. In this work, a multidimensional
digital immunoassay has been developed through microparticle-based
encoding and artificial intelligence-based decoding, enabling multiplexed
detection with high sensitivity and convenient operation. The information
encoded in the features of microspheres, including their size, number,
and color, allows for the simultaneous identification and accurate
quantification of multiple targets. Computer vision-based artificial
intelligence can analyze the microscopy images for information decoding
and output identification results visually. Moreover, the optical
microscopy imaging can be well integrated with the microfluidic platform,
allowing for encoding-decoding through the computer vision-based
artificial intelligence. This microfluidic digital immunoassay can
simultaneously analyze multiple inflammatory markers and antibiotics
within 30 min with high sensitivity and a broad detection range from
pg/mL to μg/mL, which holds great promise as an intelligent
bioassay for next-generation multiplexed biosensing
Computer Vision-Based Artificial Intelligence-Mediated Encoding-Decoding for Multiplexed Microfluidic Digital Immunoassay
Digital immunoassays with multiplexed capacity, ultrahigh
sensitivity,
and broad affordability are urgently required in clinical diagnosis,
food safety, and environmental monitoring. In this work, a multidimensional
digital immunoassay has been developed through microparticle-based
encoding and artificial intelligence-based decoding, enabling multiplexed
detection with high sensitivity and convenient operation. The information
encoded in the features of microspheres, including their size, number,
and color, allows for the simultaneous identification and accurate
quantification of multiple targets. Computer vision-based artificial
intelligence can analyze the microscopy images for information decoding
and output identification results visually. Moreover, the optical
microscopy imaging can be well integrated with the microfluidic platform,
allowing for encoding-decoding through the computer vision-based
artificial intelligence. This microfluidic digital immunoassay can
simultaneously analyze multiple inflammatory markers and antibiotics
within 30 min with high sensitivity and a broad detection range from
pg/mL to μg/mL, which holds great promise as an intelligent
bioassay for next-generation multiplexed biosensing
Computer Vision-Based Artificial Intelligence-Mediated Encoding-Decoding for Multiplexed Microfluidic Digital Immunoassay
Digital immunoassays with multiplexed capacity, ultrahigh
sensitivity,
and broad affordability are urgently required in clinical diagnosis,
food safety, and environmental monitoring. In this work, a multidimensional
digital immunoassay has been developed through microparticle-based
encoding and artificial intelligence-based decoding, enabling multiplexed
detection with high sensitivity and convenient operation. The information
encoded in the features of microspheres, including their size, number,
and color, allows for the simultaneous identification and accurate
quantification of multiple targets. Computer vision-based artificial
intelligence can analyze the microscopy images for information decoding
and output identification results visually. Moreover, the optical
microscopy imaging can be well integrated with the microfluidic platform,
allowing for encoding-decoding through the computer vision-based
artificial intelligence. This microfluidic digital immunoassay can
simultaneously analyze multiple inflammatory markers and antibiotics
within 30 min with high sensitivity and a broad detection range from
pg/mL to μg/mL, which holds great promise as an intelligent
bioassay for next-generation multiplexed biosensing
Computer Vision-Based Artificial Intelligence-Mediated Encoding-Decoding for Multiplexed Microfluidic Digital Immunoassay
Digital immunoassays with multiplexed capacity, ultrahigh
sensitivity,
and broad affordability are urgently required in clinical diagnosis,
food safety, and environmental monitoring. In this work, a multidimensional
digital immunoassay has been developed through microparticle-based
encoding and artificial intelligence-based decoding, enabling multiplexed
detection with high sensitivity and convenient operation. The information
encoded in the features of microspheres, including their size, number,
and color, allows for the simultaneous identification and accurate
quantification of multiple targets. Computer vision-based artificial
intelligence can analyze the microscopy images for information decoding
and output identification results visually. Moreover, the optical
microscopy imaging can be well integrated with the microfluidic platform,
allowing for encoding-decoding through the computer vision-based
artificial intelligence. This microfluidic digital immunoassay can
simultaneously analyze multiple inflammatory markers and antibiotics
within 30 min with high sensitivity and a broad detection range from
pg/mL to μg/mL, which holds great promise as an intelligent
bioassay for next-generation multiplexed biosensing
Computer Vision-Based Artificial Intelligence-Mediated Encoding-Decoding for Multiplexed Microfluidic Digital Immunoassay
Digital immunoassays with multiplexed capacity, ultrahigh
sensitivity,
and broad affordability are urgently required in clinical diagnosis,
food safety, and environmental monitoring. In this work, a multidimensional
digital immunoassay has been developed through microparticle-based
encoding and artificial intelligence-based decoding, enabling multiplexed
detection with high sensitivity and convenient operation. The information
encoded in the features of microspheres, including their size, number,
and color, allows for the simultaneous identification and accurate
quantification of multiple targets. Computer vision-based artificial
intelligence can analyze the microscopy images for information decoding
and output identification results visually. Moreover, the optical
microscopy imaging can be well integrated with the microfluidic platform,
allowing for encoding-decoding through the computer vision-based
artificial intelligence. This microfluidic digital immunoassay can
simultaneously analyze multiple inflammatory markers and antibiotics
within 30 min with high sensitivity and a broad detection range from
pg/mL to μg/mL, which holds great promise as an intelligent
bioassay for next-generation multiplexed biosensing
Computer Vision-Based Artificial Intelligence-Mediated Encoding-Decoding for Multiplexed Microfluidic Digital Immunoassay
Digital immunoassays with multiplexed capacity, ultrahigh
sensitivity,
and broad affordability are urgently required in clinical diagnosis,
food safety, and environmental monitoring. In this work, a multidimensional
digital immunoassay has been developed through microparticle-based
encoding and artificial intelligence-based decoding, enabling multiplexed
detection with high sensitivity and convenient operation. The information
encoded in the features of microspheres, including their size, number,
and color, allows for the simultaneous identification and accurate
quantification of multiple targets. Computer vision-based artificial
intelligence can analyze the microscopy images for information decoding
and output identification results visually. Moreover, the optical
microscopy imaging can be well integrated with the microfluidic platform,
allowing for encoding-decoding through the computer vision-based
artificial intelligence. This microfluidic digital immunoassay can
simultaneously analyze multiple inflammatory markers and antibiotics
within 30 min with high sensitivity and a broad detection range from
pg/mL to μg/mL, which holds great promise as an intelligent
bioassay for next-generation multiplexed biosensing
Computer Vision-Based Artificial Intelligence-Mediated Encoding-Decoding for Multiplexed Microfluidic Digital Immunoassay
Digital immunoassays with multiplexed capacity, ultrahigh
sensitivity,
and broad affordability are urgently required in clinical diagnosis,
food safety, and environmental monitoring. In this work, a multidimensional
digital immunoassay has been developed through microparticle-based
encoding and artificial intelligence-based decoding, enabling multiplexed
detection with high sensitivity and convenient operation. The information
encoded in the features of microspheres, including their size, number,
and color, allows for the simultaneous identification and accurate
quantification of multiple targets. Computer vision-based artificial
intelligence can analyze the microscopy images for information decoding
and output identification results visually. Moreover, the optical
microscopy imaging can be well integrated with the microfluidic platform,
allowing for encoding-decoding through the computer vision-based
artificial intelligence. This microfluidic digital immunoassay can
simultaneously analyze multiple inflammatory markers and antibiotics
within 30 min with high sensitivity and a broad detection range from
pg/mL to μg/mL, which holds great promise as an intelligent
bioassay for next-generation multiplexed biosensing