Transparent flexible tubes with evenly spaced spherical beads inside on a light background.
Biopharmaceutical analytics · Optomics®

From photons to
drug development

Lipid Nanoparticles
Extracellular vesicles

Complete characterization in a single acquisition. Built for lipid nanoparticles and extracellular vesicles, Optomics® is also scalable to other complex nanotherapeutics.

The bottleneck

The characterization bottleneck is costing you time at every stage. Nanotherapeutics are transforming medicine, but characterizing them remains one of the most stubborn constraints in the pipeline.

What the tools do today

Destructive processing.
Single parameter instruments.
Complex outputs.

Each tool measures one parameter at a time. DLS gives you sizebut not payload. TEM gives you morphology ut consumes the sample and takes hours. NTA adds concentrationas another separate run. Meanwhile, batch inconsistencies accumulate, reagent waste compounds, and R&D decision cycles stretch.

DLS
TEM
NTA
HPLC
Immunoassays

The result

A bottleneck that delays formulation down-selection, increases cost per iteration, and pushes timelines back at precisely the stage where speed matters most.

vs.

What Optomics® does instead

Intact samples.
Multiparametric analyses.
Automated results.

A single spectroscopic acquisition delivers simultaneous data on particle size, concentration, and payload distribution, in minutes, without consuming the sample. The same formulation continues downstream, eliminating sequential destructive workflows.

Label-free
Native state

the result

30–50%

faster time-to-results. 25% less reagent waste. Formulation decisions made at the right stage — not forced by sample depletion.

Traditional tools

DLS · TEM · NTA

Optomics®

Spectroscopic AI

Sample state

×

Destructive — sample lost

Non-destructive — sample preserved

Parameters / run

×

Single parameter only

Simultaneous: size, concentration, payload

Time to result

×

Hours per parameter

Minutes per acquisition

Throughput

×

Low — sequential workflows

High — parallel multimodal readout

Batch consistency

×

Manual cross-referencing required

Automated, real-time QC flag

R&D cycle impact

×

Bottleneck at every formulation iteration

30–50% faster time-to-results

Head-to-head comparison

Optomics®
vs. traditional
characterization tools

A direct comparison across the parameters that matter to formulation and QC workflows.

Traditional tools

DLS · TEM · NTA

Optomics®

Spectroscopic AI

Sample state

×

Destructive — sample lost

Non-destructive — sample preserved

Parameters / run

×

Single parameter only

Simultaneous: size, concentration, payload

Time to result

×

Hours per parameter

Minutes per acqui

Throughput

×

Low — sequential workflows

High — parallel multimodal readout

Batch consistency

×

Manual cross-referencing required

Automated, real-time QC flag

Reagent dependency

×

Reagents required for many assays

Label-free — no consumable dependency

R&D cycle impact

×

Bottleneck at every formulation iteration

30–50% faster time-to-results

How Optomics® fits pharma R&D

From formulation sample to decision. In one run.

The Optomics® workflow integrates directly into existing lab processes: minimal expert time, no dedicated sample stream, no protocol redesign.
01

Sample input

Hands-free, high-throughput sample analysis from crude samples.
02

Spectral Scan

Proprietary optical acquisition captures size, concentration, and payload simultaneously.
03

AI analysis

Automated processing delivers multimodal readout in minutes not hours.
04

Decision output

Batch QC flag, formulation comparison, or go/no-go for the next development stage.
The sample is preserved throughout. After Optomics® acquisition, the formulation continues into downstream verification, stability testing, or clinical supply: without any material loss.

Application

Where Optomics® changes the formulation math

The challenge

LNP formulations require multi-parameter characterization at every development stage, from initial screening through batch release. Traditional sequential workflows create compounding delays: with different methods being required to determine critical sample attributes like size, drug encapsulation and surface charge.

The cost of the bottleneck

Delayed formulation down-selection. Reagent-intensive parallel assays. Batch inconsistencies that only surface late in the pipeline, when correction is costly and timeline impact is maximal.

Clear glass laboratory tubes with bubbles floating in blue liquid solution.

The Optomics® solution

A single non-destructive acquisition delivers simultaneous data on particle size, concentration, and payload distribution - enabling real-time batch comparison and formulation QC without sequential workflows or sample sacrifice.

For R&D teams
Faster iteration from formulation insight to down-selection. 30–50% reduction in time-to-results per characterization cycle. 25% reduction in reagent waste.
For manufacturing sites
Batch consistency and payload stability verified during manufacturing - ensuring only high-quality therapeutic candidates reach clinical phases, protecting trial integrity from the formulation stage up.
The problem gold standards can't solve

Current methods fail to provide a complete and accurate characterization of heterogenous EVs.

Molecular content

Comprehensive analysis of the molecular composition is technically challenging and laborious, with results that are often difficult to integrate.

Physical parameters

Size and particle number concentration measurements are inaccurate due to the inherent sample heterogeneity.

Dropper releasing a clear liquid droplet above an open petri dish on a light background.

The Optomics® solution

Optomics® characterizes EVs and LNPs in their native form — delivering precise, multiparametric profiles of size, concentration, and RNA cargo composition and distribution from a single acquisition, without destroying or preprocessing the sample.

Native
State analysis
No processing
1 run
Size + conc. + RN
Cargo distribution
+10%
characterization
accuracy improvement
-30%
time reduction
Per characterization cycle
Non-destructive drug load quantification
total drug load and its distribution across individual nanoparticles, with sample integrity preserved throughout.
Multiparameter simultaneous readout
size, concentration, payload composition, and cargo distribution in one run. No sequential workflows, no cross-referencing across separate assays.
Heterogeneous nanoformulation handling
AI algorithms specifically trained to resolve the inherent variability of EV and LNP formulations that current methods cannot adequately capture.
Native-state analysis
no sample preprocessing required, enabling direct measurement and online QC without altering the formulation

The shared engine

One engine.
Two ends of the same pipeline.

The platform that characterizes your nanoparticles is the same engine that screens patients in a clinical blood draw. Optomics® is not a separate tool for drug development: it is the same optical platform integrated with distinct AI algorithms, applied upstream in the therapeutic pipeline.
In the lab

Biopharmaceutical analytics

LNP & EV characterization
Batch QC · formulation down-select
Non-destructive multi-parameter
Same engine
Optomics®
In the clinic

Clinical
Screening

Patient screening & triage
Trial cohort stratification
Risk assessment
A pharma company using Optomics® for LNP characterization today is building toward a platform that can support their clinical trial stratification tomorrow - using the same data architecture, the same AI model, and the same physical measurement.

More technical deep-dive on iLOF’s application note. Download it below.

Everything a scientist needs to evaluate Optomics integration in their workflow: methodology, validation datam and performance benchmarks.

01 / Pharma R&D teams

Read the technical evidence behind Optomics®

Application notes, validation data, and methodology in one document.

Request access to application note
02 / Integration discussion

Want to discuss your specific workflow?

Our team works directly with pharma R&D scientists to scope integration and technical fit.

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