ELN for ELISA Data Analysis

Overview

ELISA (Enzyme-Linked Immunosorbent Assay) is a widely used analytical biochemistry technique for detecting and quantifying substances such as proteins, peptides, antibodies, and hormones. The Electronic Lab Notebook (ELN) for ELISA is purpose-built to document, analyze, and manage ELISA experiments. It works much like the ELN for Production. The main difference is that it uses section widgets designed specifically for ELISA.

ELN for ELISA supports three types of ELISA data analysis:

• ELISA Standard Curve: Turn ELISA readings into concentrations by comparing each sample's response to a standard curve built from known concentrations.
• ELISA Qualitative: Classify every well by determining whether an antigen or antibody is present in each sample.
• Dose Response Curve: Fit four-parameter logistic (4PL) dose-response curves and calculate EC50 or IC50.

Each analysis follows the same three steps—prepare the layout, prepare the data, and analyze—so you can plan, document, and analyze an assay in one ELN record and finish the analysis with one click. This application eliminates the need for multiple disconnected software tools by integrating the entire ELISA workflow from experimental setup through data analysis and electronic signature, while maintaining complete audit trails and regulatory compliance for quality control and research applications.

ELN for ELISA provides integrated tools for plate layout, data entry, and automated ELISA analysis

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This application is ideal for immunology labs, diagnostic testing facilities, pharmaceutical research, and any laboratory conducting routine or research ELISA assays requiring efficient data analysis and compliant documentation.

Use Cases

Immunology Research

• Quantify cytokine concentrations in cell culture supernatants
• Measure antibody titers in serum samples
• Analyze immune responses in experimental studies
• Compare treatment groups with standardized assays
• Document longitudinal studies with consistent methodology

Drug Discovery and Development

• Screen compound effects on protein expression
• Measure biomarker concentrations in preclinical studies
• Calculate EC50 or IC50 with 4PL dose-response curves
• Validate assay performance and reproducibility
• Support IND applications with compliant documentation

Clinical Diagnostics

• Quantify disease biomarkers in patient samples
• Perform routine diagnostic testing with standardized procedures
• Track quality control metrics across assay runs
• Maintain audit trails for regulatory compliance
• Generate reports for clinical decision support

Quality Control Testing

• Monitor product quality in biopharmaceutical manufacturing
• Validate assay performance with control samples
• Track inter-assay and intra-assay variability
• Document equipment qualification and calibration
• Support GMP compliance requirements

Academic Teaching Laboratories

• Teach ELISA principles and techniques
• Document student experimental results
• Compare results across laboratory sections
• Demonstrate data analysis workflows
• Create reusable protocols for teaching

Food Safety Testing

• Detect allergens in food products
• Quantify toxins and contaminants
• Perform routine safety screening
• Maintain compliance with food safety regulations
• Track batch testing results

Getting Started

Navigate to Settings → Applications from the main menu

Click Add application and select Add from a template

Choose Electronic Lab Notebook (ELN) for ELISA from the template list

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If this option is not available, the application is already installed in your account.

Wait for the installation to complete. The system will automatically create:

• elisa table for ELISA experiments and data analysis
• protocol table for standardized ELISA procedures

Access the newly created tables from the side menu to begin documenting ELISA experiments

Application Structure

ELISA Table

The elisa table is designed for documenting complete ELISA experiments from setup through analysis.

Purpose: Record ELISA experiments with integrated plate layout, data entry, and automated analysis

Key Columns:

• date_start: Experiment start date (required)
• date_due: Expected completion date for planning
• signature_status: Tracks signature workflow (Unsigned, Signed, Witnessed)

Key Sections:

• ELISA Workflow: Interactive guide for completing ELISA experiments step-by-step
• Experiment Overview: Purpose, hypothesis, and experimental design
• Experiment Procedure: Step-by-step protocol documentation
• ELISA Standard Curve: ELISA Standard Curve widget for plate layout, data entry, and analysis
• Other Files: Supporting documents and raw data files
• Experiment Signers: Electronic signature management

To run a qualitative or dose-response analysis, add a section with the ELISA Qualitative or Dose Response Curve widget. See Analyzing ELISA Data.

Typical Use: Protein quantification assays, antibody detection, biomarker analysis, dose-response assays, immunoassays

Protocol Table

The protocol table manages standardized ELISA procedures and validated methods.

Purpose: Create and maintain reusable ELISA protocols and SOPs

Key Columns:

• status: Tracks protocol lifecycle (Drafting, Pending Review, Finalized, Archived)

Key Sections:

• Steps: Structured step-by-step instructions
• Steps (Text): Rich text editor for detailed procedures
• Documents (Attached Files): Method specifications, kit inserts, validation reports

Typical Use: Standard ELISA protocols, validated analytical methods, kit-based procedures

Creating a New ELISA Experiment

Navigate to the elisa table from the side menu or search for "elisa"

Click the + Add button at the top of the table list view

Fill in the experiment details:

• Name: Descriptive experiment title (e.g., "IL-6 Quantification in Plasma Samples")
• Date Start: Experiment start date (required)
• Date Due: Expected completion date
• Project: Link to relevant project (optional)

Click Save to create the experiment. The detail view opens with the ELISA Workflow section visible

Follow the guided workflow to complete your ELISA experiment systematically

Analyzing ELISA Data

ELISA has a wide range of uses. ELN for ELISA provides a dedicated section widget for each of the three supported analyses. Choose the widget that matches the question your assay answers:

Analysis	Answers	Layout labels	Result
ELISA Standard Curve	What is the concentration of each unknown sample?	STD, CONC, BLANK, sample names	Concentration, SD, and CV for each sample
ELISA Qualitative	Is the antigen or antibody present in each sample?	PC, NC, sample names	Classification of each sample against a cutoff
Dose Response Curve	How does the assay response change with analyte concentration?	POSITIVE, BLANK, CONC, sample names	EC50 or IC50, Hill slope, and minimum and maximum responses

To get started with any analysis, open an ELISA experiment, add a new section, and select the matching widget. Once the widget is added, it displays three steps: prepare the layout, prepare the data, and analyze the data.

You can add more than one of these widgets to the same experiment. Each widget keeps its own layout, data, and analysis results.

ELISA Standard Curve

The ELISA Standard Curve is one of the most common ELISA experiments. It determines the concentration of an unknown sample by comparing the sample's response to a standard curve built from known concentrations.

The ELISA Standard Curve widget provides integrated plate layout, data entry, and automated analysis

In an ELISA experiment, add a new section with the ELISA Standard Curve widget.

Select Edit Layout to open the layout editor, then define the layout of your ELISA plate:

• Mark each standard well with STD.
• Use CONC as a row or column header to set the concentration of each standard.
• Mark the blank controls with BLANK.
• Label the remaining wells with your sample names. Wells with the same name are treated as replicates. We recommend running each sample in duplicate for more accurate and reliable results.

You can also import a layout from an Excel, TSV, or CSV file. The file must follow the same format as the layout editor, with STD, CONC, BLANK, and the sample names in the matching cells.

Select Edit Data to open the data editor, then enter the absorbance value for each well. For the standards, enter each concentration in the CONC row or column; the widget uses these values to build the standard curve.

You can also import the data from an Excel, TSV, or CSV file that matches the format of the data editor, with each absorbance value in its matching cell.

Select Analyze. The widget generates the standard curve and calculates the concentration of each unknown sample.

When the analysis is complete, the widget shows each analysis step in detail:

1. Calculates the average absorbance of the blanks.
2. Subtracts the background absorbance and applies the data transformation. The results appear in a new 96-well plate that you can download for further analysis.
3. Calculates the average absorbance of the standards and shows them in a table.
4. Fits the standard curve using the fitting method selected in the widget settings.
5. Plots the standard curve directly in the widget.
6. Calculates the standard deviation (SD), the coefficient of variation (CV), and the concentration of each sample. This is your final result, and you can download it for further analysis.

To adjust the analysis, select Parameters. You can set the concentration unit, optical density, dilution factor, data transformation method, and curve-fitting method. For the available fitting methods, see ELISA Standard Curve.

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For optimal results, aim for CV values below 10% for standards and below 20% for samples.

ELISA Qualitative

The ELISA Qualitative analysis determines whether an antigen or antibody is present in a sample, rather than measuring its exact concentration.

In an ELISA experiment, add a new section with the ELISA Qualitative widget.

Select Edit Layout to open the layout editor. The layout editor works much like the one for the standard curve, except that you mark the controls differently:

• Mark the positive controls with PC.
• Mark the negative controls with NC.
• Label the remaining wells with your sample names.

Select Edit Data to open the data editor, then enter the raw absorbance readings from your ELISA experiment.

Select Analyze. The widget analyzes the data and determines whether the antigen or antibody is present in each sample.

When the analysis is complete, the widget shows each analysis step in detail:

1. Calculates the average absorbance of the negative controls.
2. Calculates the average absorbance of the positive controls.
3. Validates the negative and positive controls. If the validation fails, the widget shows a warning message.
4. Generates the cutoff value.
5. Calculates the classification result for each sample. Samples with an absorbance above the cutoff are shown in green, and samples with an absorbance below the cutoff are shown in red.

To adjust the analysis, select Parameters. You can set the optical density, negative control validation, positive control validation, cutoff value, and cutoff comparison operator.

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If control validation fails, review the well assignments and raw data before you rely on the classification results.

Dose Response Curve

The Dose Response Curve analysis shows how the assay response changes with the concentration of an analyte. It fits a four-parameter logistic (4PL) model and reports the EC50 or IC50—the concentration that produces a half-maximal response.

The Dose Response Curve widget fits 4PL curves and reports EC50 or IC50 for each sample

In an ELISA experiment, add a new section with the Dose Response Curve widget.

Select Edit Layout to open the layout editor, then define the layout of your ELISA plate:

• Mark the positive controls with POSITIVE.
• Mark the blank controls with BLANK.
• Use CONC as a row or column header to set the concentration of each sample.
• Label the remaining wells with your sample names.

Select Edit Data to open the data editor, then enter the raw readings from your ELISA experiment.

Select Analyze. The widget generates the dose response curve and calculates the EC50 or IC50.

When the analysis is complete, the widget shows each analysis step in detail:

1. Calculates the average response of the blanks.
2. Calculates the average response of the positive controls.
3. Subtracts the background absorbance and applies the data transformation. The results appear in a new 96-well plate that you can download for further analysis.
4. Fits the curve with a four-parameter logistic (4PL) model. You can change the fitting method in the widget settings.
5. Plots the dose response curve directly in the widget.
6. Calculates the EC50 or IC50, the Hill slope, and the minimum and maximum responses. This is your final result, and you can download it for further analysis.

To adjust the analysis, select Parameters. You can set the concentration unit, data transformation method, x-axis scale, fitting method, and fitting options. For details about each option, see Dose Response Curve.

Creating and Managing ELISA Protocols

Navigate to the protocol table from the side menu

Click + Add to create a new protocol

Fill in the protocol details:

• Name: Clear protocol title (e.g., "Human IL-6 ELISA Protocol")
• Status: Set to "Drafting" for new protocols
• Description: Assay type, kit manufacturer, sensitivity range

Add detailed protocol steps including:

• Reagent preparation and equilibration
• Plate coating or pre-coated plate handling
• Blocking procedures
• Standard preparation and dilution scheme
• Sample preparation requirements
• Incubation times and temperatures
• Washing procedures and buffer compositions
• Detection system and substrate development
• Plate reading parameters (wavelength, timing)

Attach supporting documents:

• ELISA kit insert
• Standard preparation worksheet
• Validation data
• Quality control acceptance criteria

Update the Status as the protocol progresses:

• Drafting: Under development or optimization
• Pending Review: Ready for validation
• Finalized: Validated and approved for routine use
• Archived: Superseded protocols

Managing ELISA Experiments in List View

Viewing and Filtering

• Search experiments by name, date, or analyte
• Filter by signature status to find unsigned experiments
• Sort by start date to track experiment chronology
• Use date range filters for specific timeframes
• Create custom views for different assay types

Organizing Experiments

• Tag experiments by project, analyte, or study phase
• Group related experiments in projects
• Archive completed experiments
• Export data for external analysis or reporting

For comprehensive information about list view features, see list view documentation.

Advanced Features

Batch Analysis Across Experiments

Compare results across multiple ELISA runs:

Create a project to group related ELISA experiments

Add all related experiments to the project

Use the list view to filter experiments by project

Export concentration data from multiple experiments for statistical analysis

Quality Control Tracking

Monitor assay performance over time:

Include quality control samples in each ELISA run

Document control values in the results section

Track control values across experiments to detect drift or assay variability

Set up alerts for out-of-range control values

Custom Plate Layout Templates

Create reusable plate layouts for routine assays:

Set up a complete plate layout in an ELISA experiment

Duplicate the experiment for use as a template

For new experiments, copy the layout section from the template

Only update sample identifiers and data, keeping the standard layout consistent

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Using templates ensures consistency across experiments and speeds up plate setup for routine assays.

Troubleshooting

Issue: Standard Curve Has Poor Fit (Low R²)

Symptoms: R² value below 0.95 or curve doesn't fit data points well

Solution:

Verify standard concentrations were prepared correctly

Check for pipetting errors or air bubbles in standards

Try a different fit method or data transform in Parameters. For sigmoidal dose-response data, use the Dose Response Curve widget, which fits a 4PL model

Exclude outlier standard points if contamination is suspected

Consider repeating the assay if standards are compromised

Issue: High CV Values for Replicates

Symptoms: CV exceeds 10% for standards or 20% for samples

Solution:

Review pipetting technique for accuracy and precision

Check for air bubbles in wells that can affect readings

Verify plate reader is functioning properly and calibrated

Ensure adequate mixing of samples before plating

Consider excluding outlier replicates if technical error is identified

Issue: Sample Concentrations Outside Standard Range

Symptoms: Calculated concentrations exceed highest standard or fall below lowest standard

Solution:

For high concentrations, dilute samples further and repeat the assay

Update dilution factors in the widget and reanalyze

For low concentrations, consider using a more sensitive assay kit

Concentrate samples if possible (e.g., lyophilization, ultrafiltration)

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Sample concentrations should fall within the linear range of the standard curve for accurate quantification.

Issue: Cannot Paste Data from Excel

Symptoms: Paste operation doesn't populate plate layout or data grid

Solution:

Ensure data is copied as tab-delimited format (standard Excel copy)

Check that data dimensions match the plate size (8 rows × 12 columns for 96-well)

Remove any formatting or special characters from Excel before copying

Try copying a smaller section of data and pasting incrementally

As an alternative, save as CSV and use drag-and-drop file import

Issue: Analyze Button Disabled

Symptoms: Cannot click the Analyze button to perform calculations

Solution:

Verify that the plate layout is completely configured, including the controls and concentrations required by the widget

Ensure absorbance data has been entered in the data grid

For the ELISA Standard Curve, check that at least 3 standard concentrations are defined

Try refreshing the page if the button remains disabled

Electronic Signatures and Compliance

Electronic signatures certify the accuracy and completeness of ELISA experiments, ensuring data integrity and regulatory compliance.

Signing an ELISA Experiment

Complete all sections: overview, procedure, layout, data, and analysis

Review all results and quality metrics for accuracy

Navigate to the Signers tab or click Open Signers in the workflow

Add co-signers if required by your quality system

Click Sign and enter your password to authenticate

For detailed information about the signature process, see Signers.

Audit Trail Features

Labii automatically maintains comprehensive audit trails:

• Version History: Track all changes to layouts, data, and analysis parameters (Versions)
• Activity Log: Record all actions including data entry, analysis runs, and signatures (Activities)
• Access Tracking: Monitor who viewed the experiment and when (Visitors)

Printing and Exporting

Open the ELISA experiment in detail view

Click the More menu (three dots) at the top right

Select Print from the dropdown

Review the print preview showing the layout, data, analysis results, and plots

Print to paper or save as PDF for archival, publication, or sharing

Learn more at Print.

Related Documentation

• Electronic Lab Notebook Overview
• ELISA Standard Curve Widget
• ELISA Qualitative Widget
• Dose Response Curve Widget
• Sections and Section Widgets
• Electronic Signatures and Signers
• Versions and Change History
• Activity Log
• Detail View Features
• List View Management
• Print and Export Options

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The Electronic Lab Notebook (ELN) for ELISA provides a comprehensive, integrated platform for ELISA data analysis. By combining plate layout configuration, data entry, automated standard curve, qualitative, and dose-response analysis, and electronic signatures in a single application, researchers can efficiently conduct ELISA assays while maintaining complete audit trails and regulatory compliance. The specialized ELISA widgets eliminate the need for multiple disconnected software tools, streamlining the workflow from experimental setup through data interpretation and compliant documentation for immunology research, diagnostic testing, pharmaceutical development, and quality control laboratories.