In Vitro Efficacy
Study-purpose endpoints may include cell viability, candidate responses, mechanism-related readouts and biomarkers.

PRECLINICAL EFFICACY · 3D BIOIMAGING
LEA BIO combines in vitro efficacy, in vivo pharmacology and histopathology with tissue-clearing 3D bioimaging and AI quantification when advanced spatial evidence is needed. We connect early candidate screening with tissue-level evidence in one expandable research workflow.
FROM EFFICACY TO 3D EVIDENCE
We begin with cell-level responses, extend into animal models and tissue analysis, and add 3D spatial evidence when the research question calls for it.
Services can be selected individually or connected by development stage. Following a preliminary review of the model, sample, target and desired outputs, we recommend a suitable study design.
This is a nonclinical research support service; results should not be directly interpreted as clinical efficacy in humans.INTEGRATED NONCLINICAL SUPPORT
Initial focus areas include oncology, kidney function and toxicity, and natural or functional materials. Detailed scope is determined after reviewing the objective and model.
Study-purpose endpoints may include cell viability, candidate responses, mechanism-related readouts and biomarkers.
Animal models, dosing conditions, comparison groups and efficacy endpoints are planned around the research objective.
Tissue-level changes and target proteins are stained, imaged and quantitatively compared across groups.
Tissue clearing, 3D imaging and AI-assisted quantification reveal spatial changes in cells, vessels and targets.
SERVICE PACKAGES
Cell-based candidate screening and confirmation of core efficacy endpoints
In Vitro + In Vivo + histopathology and biomarker analysis
Integrated efficacy study + tissue clearing + 3D AI quantification + research report
ADVANCED SPATIAL EVIDENCE
Representative models where tissue clearing and 3D quantification can extend a core efficacy study. Existing samples and new models can be custom-designed after preliminary review.
We compare the three-dimensional distribution and volume of target signals, including amyloid-beta plaques, across whole-brain tissue.
We visualize vascular architecture and neural target changes in ischemic brain tissue and design quantitative endpoints.
We evaluate whether candidate materials or labeled signals cross the blood–brain barrier and map their spatial distribution in tissue.
We observe whole kidney tissue and glomeruli in 3D and compare changes in volume and distribution in kidney injury models.
We examine changes in target cells and neural structures across whole tissue in optic nerve injury models.
We compare spatial changes in retinal vessels and pathological targets using 3D images and quantitative data.
We analyze the location, distribution range and persistence of administered cells within target organs in three dimensions.
We visualize and quantify the organ-specific accumulation sites and signal levels of labeled microparticles in 3D.
DESIGN · IN VITRO · IN VIVO · PATHOLOGY · 3D
We review the objective, candidate, model and comparison groups to define the evaluation strategy.
Cell-based responses and core biomarkers are assessed to refine the next stage.
Efficacy and pharmacology endpoints are evaluated under the agreed model and dosing conditions.
We analyze pathology and biomarkers, adding tissue clearing and 3D quantification when appropriate.
Study data are organized into comparable images, quantitative results and a research report.
RESEARCH OUTPUT
Detailed formats and analytical items are finalized during study-plan consultation.
Group-comparison results for agreed endpoints from cell-based and in vivo studies
Representative tissue images, biomarker analysis and optional 3D source and quantitative data
A report describing study conditions, analytical methods, key results and interpretation limits
PROJECT INQUIRY
We review the model, tissue type, target, sample size and desired outputs to recommend an appropriate evaluation strategy.