In drug discovery research, it is increasingly important not only to identify target molecules but also to understand in which spatial regions within the brain their functions are expressed and which networks they are involved in. Traditional two-dimensional analytical methods have struggled to fully capture this spatial continuity, limiting the evaluation of drug discovery seeds. In recent years, advancements in whole-brain 3D imaging technology have enabled visualization and quantification at high resolution while preserving the entire tissue, significantly improving the accuracy and efficiency of research. This article organizes the key technologies, their applications, and practical implementation points.
In drug discovery seed exploration, not only the presence of target molecules but also "spatial information" – where they function within the brain and in what networks – is extremely important. Traditional section analysis is limited to two-dimensional observation, which risks information loss and sampling bias due to the loss of continuity in three-dimensional structure. In contrast, whole-brain 3D imaging...Enabling visualization of drug distribution, neural activity, and pathological changes at the cellular level while preserving the whole brain's network structure.Points hold great value. Below, we will organize these technological trends and clarify the appropriate evaluation criteria when utilizing CROs.
Whole-brain 3D imaging is composed of a series of processes: tissue clearing, imaging, and data analysis. Each process is closely related to the others and significantly influences the quality of the spatial information obtained. Here, we outline the overall picture of these key technologies and their basic workflow.
Tissue clearing techniques,A foundational technology that makes thick brain tissue optically transparent by removing lipids and homogenizing the refractive index.CUBIC, a representative hydrophilic protocol, is easy to handle because it uses aqueous reagents and has excellent antibody penetration, making it well-suited for multiplex immunolabeling. On the other hand, hydrophobic protocols, exemplified by iDISCO and uDISCO, achieve high transparency and excellent tissue preservation, making them suitable for observing a wide range of structures. However, care must be taken to avoid sample shrinkage and fluorescence quenching associated with the use of organic solvents.
Imaging technology is,Core process for acquiring high-resolution 3D information from a transparentized tissueIn particular, light sheet fluorescence microscopy (LSFM) is widely used as a technique suitable for whole-brain scanning, achieving high speed and low photobleaching by selectively exciting the sample with a sheet of light. On the other hand, confocal microscopy offers high spatial resolution and is excellent for observing fine structures in detail, but has limitations in terms of acquisition speed and photobleaching. Therefore, it is important to use them appropriately depending on the purpose, such as using LSFM for broad overview and confocal microscopy for detailed local analysis.
Data analysis (informatics) isProcess for extracting useful insights from acquired 3D imagesBy registering with standard brain atlases such as the Allen Brain Atlas, it becomes possible to align and automatically extract brain regions, improving the reproducibility and accuracy of analysis. AI-based automatic cell detection and counting technology ensures high quantitativeness even for large-scale data. This establishes a foundation for spatial and statistical evaluation of drug effects and pathological changes, contributing to the efficiency and reliability of drug discovery research.
In non-clinical studiesWhole-brain 3D imaging is a powerful means for spatially integrated evaluation of drug efficacy and safety.Pharmacodynamics(PD) Studies
From a drug delivery system (DDS) perspective, it is possible to visualize antibody drugs and nucleic acid drugs at the whole-brain level, showing which brain regions they cross the blood-brain barrier to and to what extent they accumulate.
In neurodegenerative disease models, it's possible to comprehensively grasp the distribution of amyloid-beta and tau proteins and perform correlational analysis with the reduction effects of drug administration.
In safety assessments, it can detect signs of unintended neurotoxicity in specific regions with high sensitivity, contributing to improved accuracy in the risk assessment of candidate compounds.
Full-brain 3D imaging requires advanced technological integration, so CRO selection significantly impacts the quality of research outcomes. It is crucial to conduct a comprehensive evaluation, not just based on the presence of equipment or track record, but also including adaptability to sample characteristics, depth of data analysis, and informatics infrastructure. Furthermore, the ability to provide appropriate proposals and meet reliability standards based on the drug discovery objectives and study phase is also an important decision-making factor. The main checkpoints for selection are summarized below.
| Checklist | Points to confirm |
|---|---|
| Know-how for transparency | Can I select the optimal protocol based on the properties of the drug (low-molecular-weight and high-molecular-weight)? |
| Quantitative analysis | Can you handle numerical quantification and statistical analysis for each region, not just "pretty pictures"? |
| IT infrastructure | Can we safely handle and deliver massive raw data on the terabyte scale? |
| Consulting skills | From the design stage of the exam, are there proposals aligned with the objective (such as clarifying the MOA)? |
| GLP compliance requirements | What level of reliability standards can be implemented corresponding to the preclinical testing phase? |
3D whole-brain imaging is a technology that comprehensively acquires and quantifies spatial information within the brain by integrating tissue clearing, imaging, and data analysis. It allows visualization of network structures, drug distribution, and pathological changes that could not be captured by conventional 2D analysis. Such 3D analysis is shifting its positioning from an "added bonus" to an "essential" foundational technology for accelerating next-generation drug discovery. On the other hand, as it requires advanced expertise and equipment, a division of roles is important, not only for in-house ownership but also for utilizing CROs to augment speed and specialized knowledge.
In drug discovery, the quality and efficiency of non-clinical studies have a direct impact on clinical success rates, development costs, and overall length of time required in R&D.
In recent years, there has been more demand for clinically relevant data, globally accepted reliability, and accurate early-stage screening.
Thus, it is more important than ever to select the right CRO (Contract Research Organization) for strategic approach.
In this article, we highlight three CROs with proven technical capabilities, expertise, and long standing track records. These are our TOP 3 choices based on their capabilities and the specific target goals of the researchers for their non-clinical studies.