Analysis Techniques and Basics of Automation and Sample Logistics (3 cr)

Objectives (course unit)

Part 1 Basics of analysis techniques
The student
- knows the operating principles, measuring methods and areas of application of the measuring devices used in clinical laboratory
- knows the basic principles related to the preparation, preservation and use of reagents, calibrators/constants and controls
- knows factors affecting the measurement quality and common sources of error
- can explain the principles and practical use of the measuring devices used in the teaching
- learns how to work in a supervised small group and to pay attention to their own and others’ occupational safety and ergonomics

Part 2. Basics of automation and sample logistics
The student
- knows the basics of automation
- gets an idea of different clinical laboratory automation solutions
- knows the operational environment of an automated laboratory
- can explain the meaning of sample logistics and how automation affects its operation

Content (course unit)

Part 1. Analysis techniques
Note: The use and measuring principle of a spectrophotometer are covered in a preliminary manner

-practical course of general laboratory practice and occupational safety
-preparation, storage and use of reagents
-reactions between the measured substance and the reagent
-calibration, control and quality management of the instruments and methods
-operating principles and sources of error in measuring instruments
-end point and kinetic measurement
-applications in clinical laboratory and special analytics; photometry measurements, potentiometric, amperometric and other electrochemical measurements
-integrations of different methods in basic analysers of chemistry and hematology
- basic concepts of flow cytometry, chromatography and mass spectrometer analysis techniques, principles and applications
-exercises in small groups, in a clinical laboratory environment and working in a small group

Part 2. Basics of automation and sample logistics
Basics of automation and fully automated clinical laboratory environment
Use of automatic analysers in analysis in clinical laboratories
Sample logistics

Assessment criteria, satisfactory (1-2) (course unit)

Part 1.
The student
- can name the operating principles and measuring methods of the more common measuring devices.
- can list some preanalytical and analytical error factors that interfere with measurements.
- needs significant guidance and support in exercises.
- pays attention to occupational safety while working in the teaching laboratory and follows given work instructions but cannot justify his/her activities.
- works within the group and gives and receives feedback.

Part 2.
The student
- knows the key concepts of the automation line and can name some of its parts.
- recognizes the importance of preanalytics and sample logistics in automation and mass production as a basis for quality.
- The written report follows the TAMK thesis reporting guidelines in general but contains many shortcomings.
- The student's reflection is repetitive
- The work has been returned within the deadline.

Assessment criteria, good (3-4) (course unit)

Part 1.
The student
- can explain the operating principles and measuring methods of the more common measuring devices.
- can list the most important preanalytical and analytical error factors that interfere with measurements and can explain their effects.
- can perform laboratory exercises under guidance.
- pays attention to occupational safety while working in the teaching laboratory, follows given work instructions and can justify his/her activities.
- works responsibly within the group and can give and receive feedback actively and constructively.

Part 2.
The student is able
- to explain the key concepts of laboratory automation.
- to describe different automation solutions and their differences.
- to justify the importance of preanalytics and sample logistics in automation and mass production as a basis for quality.
- to present a reflective and critical perspective on a given topic.
Finnish and international articles have been used as sources. The report is mainly written in accordance with TAMK's thesis reporting guidelines. The work has been returned within the deadline.

Assessment criteria, excellent (5) (course unit)

Part 1.
The student
- analyses the differences of the operating principles and measuring methods of more common measuring devices.
- can list preanalytical and analytical error factors that interfere with measurements and can explain their effect mechanisms.
- performs laboratory exercises independently, relying on given instructions and verifies issues with the teacher when necessary.
- pays attention to occupational safety while working in the teaching laboratory, follows given work instructions and can justify his/her activities.
- works constructively and responsibly within the group, gives and receives feedback actively.

Part 2.
The student is able
- to explain the key concepts of laboratory automation and various automation solutions.
- to analytically justify the importance of preanalytics and sample logistics in automation and mass production as a basis for quality.
- to present a reflective and critical perspective on a given topic, broadening his/her understanding of the subject.
Several Finnish and international articles have been used as sources. The report is written in accordance with TAMK's thesis reporting guidelines using a formal writing style. The work has been returned within the deadline.

Location and time

-

Exam schedules

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Assessment methods and criteria

Numeerinen arviointi, keskiarvo kirjallisesta työstä ja ryhmätyön numerosta.
Laboratorioharjoitukset pakollisia.

Assessment scale

0-5

Teaching methods

Opiskelijat tutustuvat aihepiiriin etukäteen. Luennoilla käydään läpi ydinasiat.
Opiskelijat pitävät reflektoivaa kurssipäiväkirjaa, jossa käsittelevät kurssin aiheiden ymmärtämista.
Kurssin suoritus arvioidaan kurssipäiväkirja perusteella.
Laboraatiot 4h/pienryhmä.
Opettaja Anna Tiainen

Näytelogistiikka ja automaatio suoritetaan ryhmätöiden muodossa.
Opettaja
Henna Agbodjakin

Learning materials

Laboratoriolääketiede : kliininen kemia ja hematologia
Niemelä, Onni, 1959- toimittaja.; Pulkki, Kari, 1956- toimittaja.
2010, e-kirja

Opettajan antama muu materiaali.

Student workload

Analyysitekniikat 1,5 op + 0,5 harjoitukset
Näytelogistiikka ja automaatio 1 op
22h teoriaa ja 4 h harjoituksia.
45 h itsenäistä työskentelyä

Content scheduling

Osa 1, Analyysitekniikat (teoria 1,5 op + harjoitus 0,5 op = 2 op) 31.1.2023-3.4.2023

-reagenssien säilytys ja käyttö
-mittalaitteen ja menetelmän kalibrointi, kontrolli ja laadunhallinta
-päätepiste ja kineettinen mittaus
-kliinisessä laboratoriossa käytettäviä analyysimenetelmiä, fotometrisi ja sähkökemialliset mittaukset (potentiometria, amperometria)
- mittalaitteiden toimintaperiaatteita ja virhelähteitä
-eri menetelmien integraatiot kemian ja hematologian perusanalysaattoreissa
- peruskäsitteitä ja perusteita flowsytometrin, erilaisten kromatografia- ja massaspektrometri tekniikoista, mittausperiaatteista ja sovellutuksista
-harjoitustyöt pienryhmissä, kliinisessä laboratorioympäristössä ja työskentely pienryhmässä

Osa 2. Automaation perusteet ja näytelogistiikka (1 op) 15.2. - 27.3.2023
Automaation perusteet, kliinisen laboratorion täysautomatisoitu toimintaympäristö
Automaatioratkaisuja
Näytelogistiikka kliinisessä laboratoriossa

Completion alternatives

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Further information

Student has acceptably completed Practical course of general laboratory practice 7B00EG12 study module.

Assessment criteria - fail (0) (Not in use, Look at the Assessment criteria above)

ks. ops

Assessment criteria - satisfactory (1-2) (Not in use, Look at the Assessment criteria above)

ks.ops