# 24-Well Plate

## Specs

| Label                     | Value                         |
| ------------------------- | ----------------------------- |
| **Version**               | 3.0.0 (updated on 2024-04-06) |
| **Developer**             | Labii Inc.                    |
| **Type**                  | Section                       |
| **Support Configuration** | No                            |

## Overview

The 24-Well Plate widget provides an interactive interface for visualizing, documenting, and managing the layout of a 24-well plate directly within a Labii experiment record. The plate grid consists of 6 columns (1–6) and 4 rows (A–D), giving 24 individually addressable wells. Researchers can annotate each well with sample identifiers, treatment conditions, concentrations, or any other relevant metadata, ensuring accurate sample tracking and reproducibility. Column and row headers can be customized with meaningful labels — for example, specifying which sample or condition occupies each column or row. The widget is well suited for mid-throughput cell culture experiments, transfection studies, migration assays, and small compound screens where a higher well count than a 12-well plate is needed while maintaining manageable well volumes.

## Use Cases

* **Cell Culture**: Map cell lines, primary cultures, or cell densities across wells for growth, differentiation, or viability studies.
* **Transfection Experiments**: Track reagent combinations, DNA/siRNA amounts, or transfection conditions per well.
* **Migration and Invasion Assays**: Assign treatment groups or time points to wells for scratch wound or transwell experiments.
* **Drug Screening**: Record compound treatments or dose-response gradients across 24 wells in a medium-throughput screen.
* **Array Analysis**: Document multiplexed sample arrays where each well contains a distinct analyte or probe.
* **Protocol Documentation**: Capture the planned plate layout as part of the experimental record for reproducibility and audit compliance.

## Interface

### Read-only View

In read-only mode, the 24-well plate is displayed as a 6 × 4 grid with column numbers (1–6) as headers across the top and row letters (A–D) along the left side. Custom column and row labels — when set — replace the default numeric and alphabetic headers, making it immediately clear which sample or condition occupies each position. Well content is shown in each cell, allowing quick visual review of the plate layout without entering edit mode.

<figure><img src="https://3607108856-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LHVg57XIRcjV-Vbubtn%2Fuploads%2Fgit-blob-0db638118953fb982b7cf5b8918ec21f81fdd129%2Fwidget-section-24-well-plate.webp?alt=media" alt="Read-only view of the 24-Well Plate widget"><figcaption><p>Read-only view showing the 24-well plate grid with column and row headers and well annotations</p></figcaption></figure>

### Edit View

In edit mode, the plate becomes a fully editable table. Click any well to type content directly — behavior is similar to a spreadsheet editor. The first row and column serve as label cells and can be populated with custom identifiers for columns and rows respectively. Users can also upload an **Excel (.xlsx)** or **TSV (.tsv)** file to populate the plate layout in bulk.

<figure><img src="https://3607108856-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LHVg57XIRcjV-Vbubtn%2Fuploads%2Fgit-blob-aa83caaf2c4b0627195b5dfc0ae063fa9618aab1%2Fwidget-section-24-well-plate-edit.webp?alt=media" alt="Edit view of the 24-Well Plate widget"><figcaption><p>Edit view with direct cell entry and support for Excel/TSV import</p></figcaption></figure>

{% hint style="info" %}
To set a custom column or row label, click the column header cell (row 0) or row header cell (column 0) and type the desired label. Labels are saved with the plate data and displayed in all views.
{% endhint %}

## Configuration

No configuration is required for this widget. Add it to any section and it is immediately ready to use.

{% hint style="info" %}
To add the 24-Well Plate widget to a record, navigate to the record's detail view, click **Add Section**, search for **24-Well Plate**, and select it.
{% endhint %}

## Additional Functions

### Import from Excel or TSV

Plate layouts defined in an external spreadsheet can be imported directly into the widget.

{% stepper %}
{% step %}
Open the record containing the 24-Well Plate section and switch to **Edit** mode.
{% endstep %}

{% step %}
Click the **Upload** button in the widget toolbar.
{% endstep %}

{% step %}
Select an **.xlsx** or **.tsv** file. The file should match the plate dimensions (4 rows × 6 columns, optionally with header row/column for labels).
{% endstep %}

{% step %}
Confirm the import. The well contents and custom labels will be populated from the file.
{% endstep %}
{% endstepper %}

{% hint style="warning" %}
Importing a file will overwrite existing well data. Ensure your import file is correct before confirming.
{% endhint %}

## Best Practices

* **Use custom labels**: Name columns and rows with sample identifiers or conditions (e.g., "Vehicle Control", "10 µM Drug A") so the plate layout is self-explanatory in the read-only view.
* **Fill header cells first**: Before entering well data, set column and row labels to avoid confusion when reviewing the layout later.
* **Leverage import for complex layouts**: When preparing plates with many wells or systematic treatment series, build the layout in Excel first and import it to save time and reduce manual entry errors.
* **Document before plating**: Record the intended layout at the time of experiment design, not after. This ensures the planned design is preserved even if the actual experiment deviates.

{% hint style="success" %}
Attaching a completed 24-Well Plate layout to your experiment record provides a permanent, searchable map of your plate setup that satisfies electronic lab notebook requirements.
{% endhint %}

### Common Pitfalls to Avoid

* **Avoid leaving wells blank when they are intentionally empty** — add a label such as "Empty" or "N/A" to distinguish intentional blanks from missing data.
* **Avoid using generic column names like "1", "2", "3"** when the columns represent distinct samples; always replace them with a descriptive label.