Labii: The Best ELN for ELISA Data Analysis

2025-03-20

Introduction to ELISA

Enzyme-Linked Immunosorbent Assay (ELISA) is a widely used biochemical technique for detecting and quantifying substances such as proteins, peptides, antibodies, and hormones. It is a vital tool in research, diagnostics, and pharmaceutical applications. Despite its significance, ELISA data analysis remains a tedious and error-prone process, often performed manually in Excel.

The Challenges of ELISA Data Analysis

ELISA data analysis is traditionally conducted using spreadsheet software, requiring meticulous calculations and manual data entry. This process is time-consuming and increases the risk of errors, leading to inaccurate results. Recognizing these challenges, Labii has developed advanced widgets that allow users to perform both ELISA Quantitative and ELISA Qualitative analysis with just one click.

Labii's ELISA Data Analysis widget revolutionizes the way ELISA data is managed and analyzed. For the first time, researchers can design ELISA layouts, document results, analyze standard curves, and predict final concentrations—all within their ELN. No additional third-party software is required, and the entire process can be completed with minimal effort.

Using the ELISA Standard Curve Widget

This widget is intuitive and easy to use. Users can follow these steps to complete their analysis:

Step 1: Prepare Layout

The widget currently supports 96-well plates. Users can prepare the layout by:

  • Clicking "Edit Plate" to input values

  • Typing directly into layout wells

  • Copying and pasting from Excel or Word

  • Dragging and dropping a table format file

Layout Guidelines:

  • Use the first cell as the concentration unit (e.g., µg/mL).

  • Label standard concentrations with "CONC" in the first row or column.

  • Mark standard wells as "STD" and blank wells as "BLANK".

  • Identical names indicate duplicates.

  • Leave a well blank to exclude it from analysis.

Best Practices:

  • Run samples in replicates to minimize errors.

  • Use standard curves on every plate.

  • Include positive and blank controls.

  • Ensure sample dilution falls within the linear range of the standard curve.

Step 2: Prepare Data

Users can input absorbance data into the 96 wells by copying and pasting values. Blank wells can be left empty to exclude them from the analysis.

Step 3: Perform Analysis

Once data is ready, a single click initiates the analysis, generating results within seconds.

Analysis Details:

  1. Calculate Average Absorbance of Blanks

  2. Subtract Background Absorbance

  3. Calculate Average Absorbance of Standards

  4. Fit the Standard Absorbance

    • Supports multiple regression models (Linear, Exponential, Logarithmic, Power, Polynomial)

  5. Plot Standard Curve

  6. Calculate SD, CV, and Concentration

    • Standard Deviation (SD) quantifies data variability.

    • Coefficient of Variation (CV) indicates precision.

    • Final concentration is calculated using dilution factors.

Advanced Settings:

  • Optical Density (OD) wavelength (default: 450nm)

  • Dilution factor adjustments

  • Data transformation options

  • Regression method selection

With Labii's ELISA Standard Curve Widget, researchers can streamline ELISA data analysis with unparalleled accuracy and efficiency.

Labii ELISA Qualitative Widget

The Labii ELISA Qualitative widget simplifies qualitative ELISA analysis for a 96-well plate. Users can input layout details, enter raw data, and perform one-click analysis to determine the presence or absence of a target analyte.

Settings:

  • Optical Density (OD): Default 450nm

  • NC/PC Validation: Allows customization of Negative Control (NC) and Positive Control (PC) validation.

  • Cutoff Formula: Adjustable for qualitative analysis.

Interface:

The widget displays the ELISA layout, analysis results, and predictions in a 96-well format for easy interpretation.

Step-by-Step Qualitative Analysis:

  1. Calculate Mean Absorbance of NC

  2. Calculate Mean Absorbance of PC

  3. Validate NC Based on User-Defined Criteria

  4. Validate PC Based on User-Defined Criteria

  5. Generate Cutoff Value

  6. Classify Samples Based on Cutoff

This structured process ensures a reliable and automated ELISA qualitative analysis workflow.

Summary

Labii's ELISA Data Analysis widgets transform the cumbersome process of ELISA analysis into a seamless, efficient workflow. Whether performing quantitative analysis using the ELISA Standard Curve Widget or qualitative analysis with the ELISA Qualitative Widget, Labii provides researchers with a comprehensive, error-free solution. Labii ELN & LIMS is the only ELN on the market offering this level of automation and flexibility.

Contact Labii today to enhance your ELISA data analysis experience! To learn more, schedule a meeting with Labii representatives (https://call.schedule.labii.com) or create an account (https://www.labii.com/signup/) to try it out yourself.

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