1 – Introduction
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BD BACTEC™ Lytic/10 Anaerobic /F
Non-resin medium containing the blood lysing agent saponin. The lysis of red cells provides
nutrients for microbial growth and reduced blood background. The lysis of white cells releases
phagocytized organisms. Indicated for 3.0 to 10.0 mL (8.0 to 10.0 mL optimal) blood volume.
BD BACTEC™ Myco/F Lytic
Specialized medium for the detection of yeast, fungi, and mycobacteria from blood. When yeast or
fungi are suspected, the medium may be used to culture sterile body fluids. Indicated for 1.0 to
5.0
mL (3.0 to 5.0 mL optimal) blood volume. A supplement may be required for use with
non-blood specimens.
BD BACTEC™ Mycosis IC /F
Selective culture medium specifically designed for the recovery of fungi from blood culture
specimens. Accepted specimen volume range is 3.0 to 10.0 mL. (This product is not available for
sale or use in USA.)
BD BACTEC™ Platelet Aerobic/F
Recommended for 4.0 mL of platelets (Leukocyte Reduced Apheresis and Leukocyte Reduced
Whole Blood Concentrates).
BD BACTEC™ Platelet Anaerobic/F
Recommended for 4.0 mL of platelets (Leukocyte Reduced Apheresis and Leukocyte Reduced
Whole Blood Concentrates).
Each medium type has default test protocol duration that can be modified in the lab configuration
display. The default protocol can be overridden on each vial entered in the instrument.
1.3.14 Built-In Test
When power is first applied to the instrument, each of the major subsystems performs its native
built-in-test (BIT) to ensure proper operation. Any failure of a component test is considered a fatal error
for the measurement system, and no measurement cycles will be initiated.
1.3.15 Testing Overview
The instrument acquires light readings, temperature, and dark readings for each station once every
10
minutes. If the door is opened during the data acquisition cycle, the cycle is aborted. When the door
is closed the test cycle restarts after one minute.
After readings for stations are acquired, the instrument applies normalization to improve signal
accuracy, and temperature compensation to minimize the impact of temperature transients on data.
After normalization and temperature compensation, the instrument applies signal conditioning
algorithms to improve overall data quality.
Next, data for stations is tested for signal quality with a series of built in tests. These tests determine
whether data is to be used for positivity processing, and whether fault conditions exist in stations that
would render them unusable.
The final step in the testing process is the application of positivity algorithms to determine whether a
culture contains evidence of microbial growth. The instrument uses general positivity algorithms as
well as algorithms specific to each medium type to optimize positivity analysis.