Advanced Optical Techniques in Biosciences
Advanced Optical Techniques in Biosciences
Lednev, Igor; Kistenev, Yury; Mazumder, Nirmal
Taylor & Francis Ltd
02/2026
226
Dura
Inglês
9781032937687
15 a 20 dias
Descrição não disponível.
1. Biosciences At Molecular Levels Illuminated by Near-infrared Optical Responses of Single-walled Carbon Nanotubes
2. Evaluation of Modern Optical Diagnostics Tools
3. Fluorescence Lifetime Imaging Data Analysis and Interpretation
4. Fluorescence Lifetime Imaging Microscopy (FLIM)
5. Quantitative Phase Imaging (QPI) in Biomedical Research
6. Advances in Photoacoustic Imaging for Regenerative Medicine and Stem Cell Therapy
7. Leveraging Quantum Dot Probes for High-Resolution and Multiplexed Microscopy
8. Spectroscopic and Microscopic Characterization of Millet Starch Digestibility
9. Advancement in Virus Research with an Adaptation of Expansion Microscopy
10. Development of an Optimized Method for the Rapid Quantification of Exosomes
11. Terahertz Spectroscopy in Biomedical Research
12. Purity Analysis of Adulterated Vegetable Oils by Optical Spectroscopy
13. A Study of Computer Assisted Diagnosis of Alzheimer's Disease by Deep Learning Models
2. Evaluation of Modern Optical Diagnostics Tools
3. Fluorescence Lifetime Imaging Data Analysis and Interpretation
4. Fluorescence Lifetime Imaging Microscopy (FLIM)
5. Quantitative Phase Imaging (QPI) in Biomedical Research
6. Advances in Photoacoustic Imaging for Regenerative Medicine and Stem Cell Therapy
7. Leveraging Quantum Dot Probes for High-Resolution and Multiplexed Microscopy
8. Spectroscopic and Microscopic Characterization of Millet Starch Digestibility
9. Advancement in Virus Research with an Adaptation of Expansion Microscopy
10. Development of an Optimized Method for the Rapid Quantification of Exosomes
11. Terahertz Spectroscopy in Biomedical Research
12. Purity Analysis of Adulterated Vegetable Oils by Optical Spectroscopy
13. A Study of Computer Assisted Diagnosis of Alzheimer's Disease by Deep Learning Models
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
biomedical imaging;fluorescence microscopy;quantitative phase analysis;photoacoustic techniques;quantum dot probes;regenerative medicine applications;deep learning diagnostics in biosciences
1. Biosciences At Molecular Levels Illuminated by Near-infrared Optical Responses of Single-walled Carbon Nanotubes
2. Evaluation of Modern Optical Diagnostics Tools
3. Fluorescence Lifetime Imaging Data Analysis and Interpretation
4. Fluorescence Lifetime Imaging Microscopy (FLIM)
5. Quantitative Phase Imaging (QPI) in Biomedical Research
6. Advances in Photoacoustic Imaging for Regenerative Medicine and Stem Cell Therapy
7. Leveraging Quantum Dot Probes for High-Resolution and Multiplexed Microscopy
8. Spectroscopic and Microscopic Characterization of Millet Starch Digestibility
9. Advancement in Virus Research with an Adaptation of Expansion Microscopy
10. Development of an Optimized Method for the Rapid Quantification of Exosomes
11. Terahertz Spectroscopy in Biomedical Research
12. Purity Analysis of Adulterated Vegetable Oils by Optical Spectroscopy
13. A Study of Computer Assisted Diagnosis of Alzheimer's Disease by Deep Learning Models
2. Evaluation of Modern Optical Diagnostics Tools
3. Fluorescence Lifetime Imaging Data Analysis and Interpretation
4. Fluorescence Lifetime Imaging Microscopy (FLIM)
5. Quantitative Phase Imaging (QPI) in Biomedical Research
6. Advances in Photoacoustic Imaging for Regenerative Medicine and Stem Cell Therapy
7. Leveraging Quantum Dot Probes for High-Resolution and Multiplexed Microscopy
8. Spectroscopic and Microscopic Characterization of Millet Starch Digestibility
9. Advancement in Virus Research with an Adaptation of Expansion Microscopy
10. Development of an Optimized Method for the Rapid Quantification of Exosomes
11. Terahertz Spectroscopy in Biomedical Research
12. Purity Analysis of Adulterated Vegetable Oils by Optical Spectroscopy
13. A Study of Computer Assisted Diagnosis of Alzheimer's Disease by Deep Learning Models
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.