Centre for Research Initiatives & Training - CRIT

08/02/2026

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12/12/2025

Lipid Profile Test & function

02/12/2025

২০২৫ প্রায় শেষের দিকে, এখনই AI দিয়ে স্মার্টভাবে কাজ করার সময়! 👇👇

1. ChatGPT.com – যেকোনো প্রশ্ন করুন
2. Krea.ai – লোগো বানান
3. ElevenLabs.io – ভয়েস ক্লোনিং
4. Gamma.app – ডকুমেন্ট ডিজাইন
5. Suno.ai – মিউজিক তৈরি করুন
6. Runway.ml – ভিডিও এডিট
7. Relume.io – ওয়েবসাইট ডিজাইন
8. Descript.com – অডিও এডিট
9. Fliki.ai – ভয়েসওভার
10. Tome.app – প্রেজেন্টেশন
11. Perplexity.ai – রিসার্চ
12. PicWish.com – ছবি এডিট
13. Veo3.ai – টেক্সট থেকে ভিডিও
14. Pika.art – এআই ভিডিও
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ChatGPT helps you get answers, find inspiration, and be more productive.

17/11/2025

Hormone & their nack names

16/11/2025

📌 Understanding the Biochemical Identification Chart for Bacteria
This chart is a quick reference used in microbiology labs to identify Gram-negative bacteria, especially those belonging to the Enterobacteriaceae family (like E. coli, Salmonella, Shigella, etc.).
Each row represents a bacterium, and each column is a biochemical test. The pattern of positive (+) or negative (–) reactions helps identify the organism.

🧪 Key Biochemical Tests in the Chart
1. Urea Test
Checks whether the bacterium can break down urea using the enzyme urease.
(+) pink color → urease is produced (e.g., Proteus, Morganella).
(–) → urease not produced.
2. TSI (Triple Sugar Iron) Agar
This test has two areas:
Slant
Butt
Results show:
A (Acid) → Yellow (sugar fermentation)
K (Alkaline) → Red (no sugar fermentation)
This helps determine which sugars the organism ferments.
3. Gas & H₂S Production
Gas (+) → bubbles or cracks in the medium.
H₂S (+) → black color (e.g., Salmonella, some Proteus species).
4. Motility Test
(+) organism moves away from the stab line (motile).
(–) stays in place (non-motile, like Klebsiella).
5. Indole Test
Checks whether bacteria can break down tryptophan into indole.
(+) → red ring forms (e.g., E. coli).
(–) → no color change.
6. Mannitol Fermentation
(+) bacteria can ferment mannitol sugar.
(–) cannot ferment mannitol.
7. Citrate Test
Tests ability to use citrate as the only carbon source.
(+) medium turns blue (e.g., Klebsiella, Enterobacter).
(–) remains green (e.g., E. coli).
📌 What This Chart Helps With
Microbiologists use these test patterns like a fingerprint to identify bacteria from:
Urine cultures
Stool samples
Blood cultures
Environmental samples
Each species shows a unique combination of positive and negative results.
For example:
E. coli → Indole +, Motile +, Citrate –
Klebsiella → Urease ±, Non-motile, Citrate +
Salmonella → H₂S +, Motile +, Indole –

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15/11/2025

Motivational letter for scholarship
Source: Online

01/11/2025

✅1. Standards in Clinical Chemistry
Standards (also called calibrators) are solutions with a known, certified concentration of an analyte (e.g., glucose, urea, cholesterol).

Purpose in QC:
Used to set up or calibrate the analyzer.
Establish the relationship between instrument response and concentration (calibration curve).
Verify that test methods give accurate results.

Example:
A glucose standard of 100 mg/dL is used to calibrate the analyzer before testing patient samples.

✅2. Calibration in Clinical Chemistry
Calibration is the process of adjusting the analyzer so that it gives results that match the known values of the standards.

Purpose in QC:
Ensures the analyzer gives accurate readings.
Removes systematic error (instrument drift or reagent changes).

Performed:
When a new reagent lot is used
After instrument maintenance
After major repairs
Periodically as recommended by the manufacturer.

Example:
You run multiple glucose standards (e.g., 50, 100, 200 mg/dL). The analyzer measures their absorbance and plots a calibration curve.
If the curve is correct, the analyzer will accurately calculate the glucose concentration in patient samples.

✅3. Controls in Clinical Chemistry
Controls are serum-like materials containing known analyte concentrations within a specific range (low, normal, and high levels).
Unlike standards, the exact value of a control is not certified — it’s provided as a range by the manufacturer.

Purpose in QC:
Used to monitor the performance of the test system after calibration.
Detects errors (random or systematic) before reporting patient results.
Usually tested daily or with each batch of patient samples.

Example:
For glucose testing:
Low control: 70–90 mg/dL
High control: 180–200 mg/dL
If the analyzer gives results within these ranges, the system is working correctly.
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©️ Medical Laboratory Scientists