Difference between revisions of "Examples for Errors"
(4 intermediate revisions by the same user not shown) | |||
Line 7: | Line 7: | ||
|rowspan="6"|'''Reoccuring errors''' | |rowspan="6"|'''Reoccuring errors''' | ||
|Experiment can often not be performed due to missing consumables | |Experiment can often not be performed due to missing consumables | ||
+ | |- | ||
|New researchers use equipment wrongly | |New researchers use equipment wrongly | ||
+ | |- | ||
|Strong bleeding during surgery | |Strong bleeding during surgery | ||
+ | |- | ||
|Injection fluid is coming out again | |Injection fluid is coming out again | ||
+ | |- | ||
|Positive control in experiment forgotten | |Positive control in experiment forgotten | ||
+ | |- | ||
|Pipetting error | |Pipetting error | ||
|- | |- | ||
|rowspan="3"|'''Sudden errors that can be fixed or vanish again''' | |rowspan="3"|'''Sudden errors that can be fixed or vanish again''' | ||
|Contamination in cell culture | |Contamination in cell culture | ||
+ | |- | ||
|pH-meter not calibrated due to technician on sick leave | |pH-meter not calibrated due to technician on sick leave | ||
+ | |- | ||
|96 well plate dropped | |96 well plate dropped | ||
|- | |- | ||
|rowspan="3"|'''Errors that are inherent to the process and influence the outcome''' | |rowspan="3"|'''Errors that are inherent to the process and influence the outcome''' | ||
|Uncontrolable, not-measured differences in study subjects, e.g. genetic differences | |Uncontrolable, not-measured differences in study subjects, e.g. genetic differences | ||
+ | |- | ||
|positive control does not exist for this type of experiment | |positive control does not exist for this type of experiment | ||
+ | |- | ||
|Equipment not sensitive enough or with a big variance | |Equipment not sensitive enough or with a big variance | ||
|} | |} | ||
Line 26: | Line 35: | ||
---------------- | ---------------- | ||
− | back to | + | back to [[4.2.2 Error and incident management]] |
− | back to | + | back to [[Toolbox]] |
Latest revision as of 19:08, 5 September 2020
The following table describes different types of errors and gives examples.
Description | Example |
Reoccuring errors | Experiment can often not be performed due to missing consumables |
New researchers use equipment wrongly | |
Strong bleeding during surgery | |
Injection fluid is coming out again | |
Positive control in experiment forgotten | |
Pipetting error | |
Sudden errors that can be fixed or vanish again | Contamination in cell culture |
pH-meter not calibrated due to technician on sick leave | |
96 well plate dropped | |
Errors that are inherent to the process and influence the outcome | Uncontrolable, not-measured differences in study subjects, e.g. genetic differences |
positive control does not exist for this type of experiment | |
Equipment not sensitive enough or with a big variance |
back to 4.2.2 Error and incident management
back to Toolbox