Advances in Biological and Biomedical Optoelectronics
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Optics and Lasers".
Deadline for manuscript submissions: 20 April 2025 | Viewed by 1627
Special Issue Editor
2. Instituto Nacional de Investigação Agrária e Veterinária (INIAV), Av. da República, Quinta do Marquês, 2780-157 Oeiras, Portugal
Interests: metabolomic; antibiotic resistance; high-\throughput screening; infrared spectroscopy; near infrared spectroscopy; therapeutic drugs screening; biotechnology; enzymatic biotechnology; mid infrared spectroscopy; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, Optoelectronics have been widely used in biotechnology and biomedicine, such as Enzymatic biotechnology, for the study of complex biological processes, the detection of specific biomarkers, the assessment of pathological conditions, disease diagnosis and therapeutic drugs screening. Benefiting from the new analytical methods provided by artificial intelligence, spectral technology can quickly and accurately analyze large amounts of data and is a powerful tool. This Special Issue, “Advances in Biological and Biomedical Optoelectronics”, aims to collect and publish new research papers and review articles in this interdisciplinary area. The Special Issue topics include, but are not limited to:
- Infrared spectroscopy;
- Mid-infrared spectroscopy;
- Near-infrared spectroscopy;
- Raman spectroscopy;
- vibrational spectroscopy;
- Biological applications;
- Biomedical applications;
- Metabolomic;
- Antibiotic resistance;
- High-throughput screening;
- Therapeutic drugs screening;
- Biotechnology;
- Enzymatic biotechnology;
- Machine learning.
Dr. Pedro Nuno Sousa Sampaio
Guest Editor
Manuscript Submission Information
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Keywords
- infrared spectroscopy
- mid-infrared spectroscopy
- near-infrared spectroscopy
- Raman spectroscopy
- vibrational spectroscopy
- biological applications
- biomedical applications
- metabolomic
- antibiotic resistance
- high-throughput screening
- therapeutic drugs screening
- biotechnology
- enzymatic biotechnology
- machine learning
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