Infectious Test Panel

Detection of seasonal infections:

Influenza Panel with RSV

Test is intended to detect H1N1 (pdm), Influenza A, Influenza B, Influenza A(H3) & Human Respiratory Syncytial Virus.

Influenza virus testing can inform clinical management when the results may influence clinical decisions such as whether to initiate antiviral treatment, perform other diagnostic testing, or to implement infection prevention and control measures for influenza. Influenza virus testing is recommended for all patients with suspected influenza who are being admitted to hospital.


Technique: Reverse Transcription-Polymerase Chain Reaction (RT-PCR) can identify the presence of influenza viral RNA or nucleic acids in respiratory specimens with very high sensitivity and specificity.

Sample requirement: nasopharyngeal or oropharyngeal swabs, broncheoalveolar lavage, tracheal aspirates, sputum.

Dengue/Chikungunya w/o Malaria

Test is designed for the qualitative detection of Dengue virus (DENV), Chikungunya virus (CHIKV) and Plasmodium spp. from various sources of clinical samples.


Technique: Real Time PCR technique.

Sample requirement: Whole blood in EDTA or serum or plasma.

Mycobacterium TB Drug Resistance Testing Panel

The test is designed for accurate identification of Mycobacterium tuberculosis complex (MTBC) along with Rifampicin and Isoniazid resistance/susceptible status using Real time nested PCR. The emergence and spread of multi-drug resistant tuberculosis (MDR-TB) is threatening to destabilize global tuberculosis control. The prevalence of MDR-TB is increasing throughout the world both among new tuberculosis cases as well as among previously treated ones.


Technique: Mycobacterium tuberculosis DNA is extracted from samples, amplified using real time amplification and detected using fluorescent reporter dye probes.

Sample requirement: Sputum, tissues, aseptic fluids (blood, body fluid, bone marrow), bronchial washing.

For genital tuberculosis: endometrial biopsy, biopsy of the lesion, pelvic wash, semen