The Benefits of SET-wise Arrangement
The complex and big experiments that include a large number of animals, often face limitations in manpower availability and resources. To overcome these challenges, such experiments are frequently conducted in a SET-wise arrangement.
In this approach, the experiment, if originally intended for a single day, is divided into multiple sets starting from the beginning. This helps distribute the workload across different teams and days, alleviating manpower constraints. Additionally, if access to certain instruments or resources is limited, the experiment can be broken down into sets that can be run with the available equipment.
The SET-wise arrangement also simplifies complex procedures or surgeries by allowing them to be performed on smaller groups of animals in each set. This can make the process more manageable and efficient for the research team.
Furthermore, conducting the experiment in sets helps ensure proper justification and control. Each set of animals experiences the same environmental conditions and experimental procedures, minimizing variability and strengthening the overall validity of the results.
Factors to Consider in SET-wise Experiment Design:
1. Group Size and Total Animals:
- Define the number of groups needed for your experiment (let's assume 12 in this example).
- Determine the total number of animals approved for the study (suppose 120 animals).
2. Resource Demands of Procedures:
- Consider the time, resources, and manpower required for individual observations, activities, and surgeries throughout the experiment.
- These procedures may involve varying durations for each animal, ranging from 5 to 120 minutes in your example.
3. Optimizing SETs with Additional Devices:
- Utilize multiple instruments or devices to reduce overall experiment time per SET.
- For instance, having two RotaRods for animal running versus one would decrease per-animal time and potentially allow for fewer SETs.
- Similarly, multiple glucometers used simultaneously for a diabetes experiment could expedite data collection and minimize SETs.
- Generally, the more devices available, the fewer SETs required.
4. Maximizing Manpower Efficiency:
- Increase the number of technicians involved in observations, activities, and surgeries to decrease the overall time needed to complete the experiment.
- This, in turn, can reduce the number of SETs necessary.
Designing a SET-wise Arrangement Table:
Let's use an example to illustrate SET-wise table design. Imagine a 10-day dysmenorrhea experiment with 12 groups and 120 animals. The experiment involves a terminal procedure: observing the writhing effect after oxytocin dosing for 30 minutes. We need to determine how to conduct this within a single day considering practical limitations.
Time Constraints: On average, we can work effectively for only 7.5 hours per day.
Resource Demands: Observing the writhing effect for 120 animals, allocating 30 minutes per animal, would require a continuous 60 hours, exceeding our available time.
Solution: SET-wise Arrangement:
To overcome this challenge, we will divide the experiment into 8 SETS. This means each SET will observe the writhing effect in roughly 15 animals. By distributing the workload across multiple sets, we can ensure the experiment is completed within a single day even with limited working hours.
Step-by-step procedure for SET-wise arrangement in Excel, incorporating all points and formulas:
1. Create the Table Structure:
- In the top row, type "SETs" and enter the number of sets (e.g., 8).
- Drag the cell handle to create 8 columns, each representing a SET.
- In the first column, type "Groups" and enter the number of groups (e.g., 12).
- Drag the cell handle to create 12 rows, each representing a group.
- Apply borders to the table for better visibility.
2. Assign Animal IDs:
- Start filling in the table with animal IDs for each group and SET, as demonstrated in the video.
3. Verify Equal Distribution:
- Use this formula to ensure equal animal distribution across sets within each group:
=SUM(COUNT(All column bracket of SET-1)) - Drag this formula across all groups to check distribution.
4. Calculate Total Animals:
- Use this formula to calculate the total number of animals assigned across all sets:
=SUM(The row brackets of total number of animals in all SETs)
5. Complete Animal ID Assignment:
- Finish assigning animal IDs to all groups and sets.
6. Highlight Potential Errors:
- Use conditional formatting to apply yellow color to any animal IDs that appear more frequently than the number of sets. This helps identify potential errors in assignments.
7. Review and Rectify:
- Carefully review the highlighted cells and make necessary corrections to ensure each animal ID is assigned only once within a group, across all sets.
By following these steps and using the provided formulas, you can effectively create a SET-wise arrangement in Excel, ensuring accurate and efficient distribution of animals for your experiment.
END OF THE DOCUMENT
You may like to read these links:
1. Check Out the Tricks and Tips with Some Trouble Points While Conducting in OECD 407 and 408
2. List of OECD Guidelines or Toxicological Studies
3. List of Guidelines Used for Medical Devices Testing
4. What are Bradford Hill's criteria for any chemical identification?
5. Animal Facility Design - Small Laboratory Animals (Rat, Mice, Rabbit, Guinea Pig)
6. List of Chemicals Needed for In-vivo Laboratory
7. OECD Test Guidelines 425 detailedOutlines| AOT425StatPgm Software Installation LD50 Calculation
8. List of Guidelines for Toxicology Animal Studies
9. List of All SOPs and Documents for the Animal House Facility
10. List of All SOPs and Documents for In-vivo Laboratory
11. List of Raw Data Sheets and SOPs Formats
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