| Course Name | Diagnostics Lab II |
| Course Code | 25CMD582 |
| Program | M. Sc. in Advanced Clinical and Molecular Diagnostics |
| Semester | 2 |
| Credits | 3 |
| Campus | Faridabad |
Unit 1:
Biochemical and Immunoassays, Introduction to clinical biochemistry in diagnostics, Enzyme activity assays (e.g., liver enzymes, LDH, etc.), Colorimetric and spectrophotometric techniques, Principle and types of ELISA (direct, indirect, sandwich, competitive), Hands-on ELISA: setup, standard curve generation, result interpretation, Troubleshooting and quality control in ELISA assays.
Unit 2:
Immunophenotyping and Imaging Techniques, Introduction to flow cytometry: principles, fluorochromes, and gating strategy, Sample preparation: cell suspension, staining protocols, Data acquisition and analysis using flow cytometry software, Immunohistochemistry (IHC): tissue preparation, antibody staining, and detection systems, Immunofluorescence (IF): direct and indirect techniques, confocal microscopy, Interpretation of staining patterns and diagnostic significance.
Unit 3:
High-Throughput and Emerging Diagnostic Tools, Microarray principles: DNA, protein, and expression arrays, Sample labelling, hybridization, and scanning, Basics of data extraction and normalization, Applications of microarrays in disease profiling and personalized medicine, Introduction to lab automation and point-of-care technologies, Simulated clinical scenarios: integrated data analysis and diagnostic decision-making.
(45 classes)
Preamble
Diagnostics Lab II builds on the foundations laid in Diagnostics Lab I and introduces advanced diagnostic techniques. Students will learn and perform a variety of assays, including biochemical test, ELISA, flow cytometry, immunohistochemistry, immunofluorescence, microarray. The course emphasizes accuracy, reproducibility, and data interpretation in a simulated clinical setting.
Course outcomes
CO1: Perform enzyme activity and spectrophotometric assays in a diagnostic context.
CO2: Conduct ELISA techniques and interpret results with quality control measures.
CO3: Apply flow cytometry for immunophenotyping and analyse fluorescence data.
CO4: Execute immunohistochemistry and immunofluorescence for cellular imaging.
CO5: Utilize microarray techniques for biomolecular profiling in disease contexts.
CO6: Integrate lab data for diagnostic decision-making in clinical simulations.
Program outcome
PO1: Bioscience Knowledge
PO2: Problem Analysis
PO3: Design/Development of Solutions
PO4: Conduct Investigations of complex problems
PO5: Modern tools usage
PO6: Bioscientist and Society
PO7: Environment and Sustainability
PO8: Ethics
PO9: Individual & Team work
PO10: Communication
PO11: Project management & Finance
PO12: Lifelong learning
0 – No affinity; 1 – low affinity; 2 – Medium affinity; 3 – High affinity
| CO | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 |
| CO1 | 3 | 2 | 2 | 2 | 3 | 1 | 0 | 1 | 1 | 1 | 1 | 2 |
| CO2 | 3 | 2 | 2 | 2 | 3 | 1 | 0 | 2 | 1 | 1 | 1 | 2 |
| CO3 | 3 | 3 | 2 | 3 | 3 | 1 | 0 | 2 | 1 | 1 | 1 | 2 |
| CO4 | 3 | 2 | 2 | 2 | 3 | 1 | 0 | 1 | 1 | 1 | 1 | 2 |
| CO5 | 3 | 3 | 2 | 3 | 3 | 1 | 0 | 2 | 1 | 1 | 1 | 3 |
| CO6 | 3 | 3 | 3 | 3 | 3 | 2 | 0 | 2 | 2 | 2 | 1 | 3 |
Program-specific outcome
PSO 1 – Emerging technologies in clinical diagnostics
PSO 2 – Biomolecules in Medicine
PSO 3 – Molecular dysregulation in diseases
PSO 4 – Molecular technology in diagnosis and therapy
PSO 5 – Applying lab discoveries to clinical practice
PSO 6 – Microorganisms in Medicine
PSO 7 – Statistical methods to interpret and validate diagnostic results
PSO 8 – Integrate molecular diagnostics into personalized medicine
PSO 9 – Compounds as biomarkers and its specificity
PSO 10 – Bioinformatics and biological data use
0 – No affinity; 1 – low affinity; 2 – Medium affinity; 3 – High affinity
| CO | PSO1 | PSO2 | PSO3 | PSO4 | PSO5 | PSO6 | PSO7 | PSO8 | PSO9 | PSO10 |
| CO1 | 3 | 3 | 2 | 2 | 2 | 1 | 2 | 2 | 2 | 1 |
| CO2 | 3 | 3 | 2 | 2 | 3 | 1 | 2 | 2 | 3 | 1 |
| CO3 | 3 | 2 | 2 | 3 | 3 | 1 | 2 | 2 | 2 | 2 |
| CO4 | 3 | 2 | 2 | 3 | 2 | 1 | 2 | 2 | 2 | 1 |
| CO5 | 3 | 2 | 2 | 3 | 3 | 1 | 3 | 3 | 3 | 3 |
| CO6 | 3 | 3 | 2 | 3 | 3 | 1 | 3 | 3 | 3 | 3 |
Textbook:
Rosenfeld GC, Loose DS. Clinical Pathophysiology and Diagnostic Medicine. Philadelphia: McGraw-Hill Education; 2006.
Reference Book:
Pallavicini MG, editor. Flow Cytometry: Principles and Applications. Totowa (NJ): Humana Press; 2008.
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