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Table 2 Representative methodologies for experimental affinity validation systems

From: Accelerating antibody discovery and optimization with high-throughput experimentation and machine learning

Methodology

Principle

Advantages

Limitations

Throughput

Kinetic Data?

Enzyme-Linked Immunosorbent Assay (ELISA)

Antigen is immobilized on a solid phase, and antibody binding is detected using an enzyme-linked secondary antibody

Versatile, well-established, relatively low cost

Not as good compared to other methods for quantitation, potential for high background signal

Moderate to High (96-well format common)

No

Single-Molecule Counting (SMC)

Fluorescently labeled antibodies are used to detect and quantify individual antibody-antigen complexes

High sensitivity (sub-pg/mL), quantitative, allows multiplexing, faster read times than ELISA

Requires specialized equipment, not usually used for antigen–antibody affinity analysis

High (384-well format)

No

Bio-layer Interferometry (BLI)

Measures changes in interference patterns caused by antibody-antigen binding on a sensor

Label-free real-time analysis, suitable for crude samples

Requires specialized equipment, lower throughput than ELISA

Low to Moderate (96 or 384-well format common)

Yes

Surface Plasmon Resonance (SPR)

Detects changes in refractive index at a sensor surface upon antibody-antigen binding

Label-free real-time analysis, highly sensitive

Requires specialized equipment and expertise, higher cost

Low (typically single-channel, but high-throughput systems exist)

Yes