How Human-Relevant Models and Spatial Profiling Can Drive Precision Medicine
eBook
Published: August 29, 2025
Credit: Danaher
Human-relevant models – such as organoids and 3D cell cultures – are transforming drug discovery by providing more predictive, human-like data compared to traditional animal models and 2D cultures.
Spatial profiling further enhances these insights by mapping interactions and biomarker distribution, expanding possibilities for personalized treatments.
This eBook explores the main challenges and key considerations in 3D biology and spatial profiling, highlighting how the latest solutions are improving the relevance of models for better drug discovery.
Download this eBook to discover:
- How to overcome assay analysis and data integration challenges
- How to automate and scale up models
- Advanced imaging platforms to assess complex cell models and tissue samples
3D Biology and Spatial
Profiling - Expert Insights
with the Life Sciences companies of Danaher
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08 Important Considerations
12 Main Challenges
20 Solutions
Table of Contents
06 Introduction to Human-Relevant Models
and Spatial Profiling
28 Additional Resources
4 5
Abcam provides highly validated research
tools including antibodies and assays to
accelerate scientific, diagnostic and
therapeutic research.
IDT manufactures products used in
diagnostic tests for many forms of cancer
and most inherited and infectious diseases.
IDT’s oligonucleotides are instrumental for
decoding genomic DNA from the millions of
crop varieties around the world, helping to
develop crops that will withstand droughts,
diseases and pest outbreaks.
Aldevron provides critical nucleic acids
and proteins used to make gene and cell
therapies, gene editing technologies,
DNA and RNA vaccines.
Leica Microsystems develops leading-edge
microscopes and scientific instruments to
power technological advances and touch
lives in meaningful ways.
For more than 80 years, Beckman Coulter has
been a trusted partner for laboratory
professionals, enabling researchers to explore
complex disease research and biological
challenges by providing centrifuges,
automated liquid handling systems and
advanced cell culture and genomics
solutions, play a critical role in life sciences.
Molecular Devices provides highperformance bioanalytical measurement
solutions for life science research,
pharmaceutical and biotherapeutic
development. Products include powerful
platforms for high-throughput screening,
genomic and cellular analysis, colony
selection and microplate detection.
The Life Sciences Companies of Danaher
Genedata transforms data into intelligence
with innovative enterprise software solutions
that incorporate extensive biopharma R&D
domain knowledge. Multinational
biopharmaceutical organizations and
cutting-edge biotechs around the globe rely
on Genedata to digitalize and automate
data-rich and complex R&D processes. From
early discovery all the way to the clinic,
Genedata solutions help maximize the ROI in
R&D expenditure.
Phenomenex is a global technology leader
committed to developing novel analytical
chemistry solutions that solve the separation
and purification challenges. From drug
discovery and pharmaceutical development
to food safety and environmental analysis,
Phenomenex chromatography solutions
accelerate science and give researchers
the tools they require to improve global
health and wellbeing
IDBS provides purpose-built software
solutions to address the data management
challenges prominent across the
BioPharma lifecycle and supply chain.
At SCIEX, our mission is to deliver
solutions for the precision detection and
quantification of molecules, empowering
our customers to protect and advance
the wellness and safety of all. The company
was founded in 1970 to develop analytical
instrumentation-based sensor technology
for use in space. Since then, SCIEX has
made its advanced analytical technology,
including Mass Spectrometers &
Capillary Electrophoresis Systems and
available to the worldwide scientific
community.
Human-relevant models and spatial profiling are transforming drug discovery by
providing more predictive, human-like data compared to traditional animal
models and 2D cultures. Human-relevant models, such as organoids and 3D cell
cultures, better mimic human biology, improving disease modeling, drug
screening and precision medicine.
Spatial profiling further enhances these insights by mapping cellular interactions
and biomarker distribution, aiding in personalized treatments for cancer,
neurodegenerative diseases and autoimmune disorders.
These approaches reduce reliance on animal testing, aligning with regulatory
shifts and improving early toxicity assessments. By bridging the gap between
preclinical research and clinical trials, human-relevant models and spatial profiling
accelerate drug development, ensuring safer, more effective treatments reach
patients faster.
The Life Sciences companies of Danaher provide integrated solutions for humanrelevant models and spatial profiling, addressing the need for more predictive
models in drug discovery. With advanced imaging, automation and AI-driven
analysis, we enhance data accuracy, optimize drug response insights and drive
the next generation of precision medicine.
Introduction to HumanRelevant Models and
Spatial Profiling
3D Biology and Spatial Profiling
6
7
How can we understand the trade-offs
between translatability and scalability
in different cellular model systems?
Important Considerations for Human-Relevant Models
The expense of screening and developing drug candidates necessitates costeffective technologies that can more accurately recapitulate human physiology and
response. Currently, screening potential candidates is primarily accomplished through
simple bioassays and animal models. While these approaches provide information on
drug safety, toxicity, efficacy and pharmacokinetic action, they have inherent
limitations. This is evident by the high drug failure rate during clinical trials.
8 9
2 days
We see a way to reduce time to assay
from 17 days to just 2 days with
experiment-ready human-relevant models.
Molecular Devices
3D Ready Organoids
High clinical trial failure rates
Preclinical models often produce data that don’t
accurately reflect human physiological responses
Limited translatability
Simple bioassays and animal models lack the complexity
of human biology, reducing relevance and reliable data
High cost
Animal studies are costly, which limits
scalability, requires significant resources and
raises ethical concerns
Need for better models
The need for more relevant data earlier in drug
development highlights a need for preclinical
models that enable high-throughput screening of
multiple candidates
9
The drug discovery and development
fields are eagerly adopting
microphysiological systems, such as
organoids, to augment their research and
offset clinical translation issues. These
systems offer several key advantages:
Improved physiological relevance – Accurately
represents human physiology and pathology
better than simple monolayer cell cultures
Ethical benefits – Organoids reduce the reliance
on animal testing and align with societal
preferences for humane research practices
Regulatory recognition – Recognized as a New
Alternative Method in drug development by the
FDA Modernization Act 2.0
Versatile applications – Serve as a valuable
platform for small and large molecule testing,
safety screening, toxicity and biomarker discovery
Immortalized cell lines are widely used in drug discovery due to their wellcharacterized properties, ability to mimic diseases and ease of manufacturing.
This makes them suitable for disease recapitulation and identification in
cell-based models. However, limitations in translatability were encountered.
In contrast, patient-derived organoids offer improved translatability as they
closely resemble their tissue of origin, making them more physiologically
relevant and better at predicting therapeutic outcomes.
Why is light sheet microscopy wellsuited for long-term live imaging of 3D
human-relevant models?
Important Considerations for Imaging Human-Relevant Models
Researchers use 3D imaging to study the development and dynamics of complex
biological systems in detail, down to the single-cell level. This can reveal differences
from experimental manipulations or compare the control and treatment. For example,
the presence or absence of specific cells or changes to their morphology (e.g., shape,
volume, length, area, etc.) are informative parameters. As a particularly gentle imaging
technique, light sheet microscopy provides an unbiased view of processes over time.
Light sheet microscopy is well suited for thick, delicate or dynamic samples such as
tumoroids, spheroids or organoids. The noninvasive nature and its ability to acquire
3D data make it well-suited for time-lapse imaging studies.
Light sheet microscopy can increase our understanding of complex biological
systems in developmental biology, neuroscience, cell biology, drug discovery, cancer
research and other fields.
10 11
Experience the key benefits of imaging
large and complex samples with Leica
Microsystems’ light sheet microscopy
solutions:
Capture sharp, uniformly illuminated images of
large-volume specimens over extended periods
Easily mount samples and maintain experimental
protocols with minimal disruption
Make on-the-fly adjustments during
experiments for greater flexibility and convenience
Study complex samples such as patient-derived
tumoroids, spheroids and organoids with reliable,
precise and versatile technology
Choose from stand-alone systems or integrated
solutions for fast, gentle volumetric imaging
Push the boundaries of research with advanced
imaging tools and AI-driven analysis software
designed for high performance and reproducibility
Watch the full webinar to discover:
ɉ How to standardize human-relevant model culture with purpose-built
automation to increase reproducibility
ɉ Cutting-edge imaging and AI-based image analysis for deep characterization
of human-relevant models
ɉ Strategies for collaboration to scale your human-relevant model programs
Bridging the Gap: Advancing Human-Relevant
Models for Real-World Impact
Webinar
Light sheet microscopy is a technique enabling imaging of organoids and
larger samples. It excites the sample parallel to the focal plane,
perpendicular to the detection objective, providing optical sectioning with
a thin excitation plane. This reduces phototoxicity and photobleaching
while allowing high-speed imaging. For long-term imaging of humanrelevant models, minimizing phototoxicity is crucial to prevent ROS
generation and thermal damage from intense laser exposure.
12 13
Increasing complexity in cellular biology presents
challenges, as highlighted by the scientific
community’s emphasis on scaling, reproducibility
and accessing large, diverse model populations with
batch consistency. One way to achieve the required
reproducibility is by providing platform technologies
that help industrialize these processes, converting
manual approaches into more reliable, routine ones
through automation.
Main Challenge: Reproducibility
What are the main challenges
associated with using
human-relevant models?
Drugs fail in clinical trials because data generated across pre-clinical R&D and CMC don’t
always provide the necessary clinical predictive power or relevancy. Monolayer cell cultures
and animal models are limited in predicting adverse effects and accurately reflecting the
physiological conditions of human tissues. Additionally, they often fail to replicate the complex
structure, cellular interactions and functional responses of native tissues. In contrast, organoid
systems are becoming more widely used as pre-clinical models because they:
ɉ Recapitulate key features of cellular architecture and function
ɉ Provide relevant, translatable data on drug functionality, kinetics and toxicity
ɉ Present a more cost-effective and ethical solution than animal models
However, manual culturing and maintenance of organoids and other complex 3D
microphysiological models is cumbersome and fails to meet the demand for large-scale drug
screening studies. The process starts with a 2D pre-culture phase, progressing to 3D cell
culture and organoid formation, which typically takes weeks. Manual handling increases
inter-batch variability, potentially undermining the consistency and reliability of organoid data.
14 15
The goal should always be to avoid risks such as
poor imaging resolution, non-reproducible results
and wasted resources. This starts with selecting the
right antibodies when building your panel. A properly
planned spatial profiling experiment can deliver
high-quality data, including the identification of new
biomarkers, by leveraging antibodies that accurately
target the intended antigen without cross-reactivity.
Your panel must also be validated for your assay. This
attention to detail enhances the overall robustness
and validity of the findings.
Main Challenge: Antibody Specificity and Sensitivity
How does antibody
specificity and sensitivity
impact multiplex and spatial
profiling experiments?
Precise detection of biomarkers, antigens and identified targets in multiplex experiments
largely hinges on the specificity and sensitivity of the antibodies used. In the realm of spatial
profiling, particularly when characterizing human-relevant models, assay-validated and highly
specific antibodies are essential. Promiscuous antibodies increase off-target binding, which
can call into question the reliability of the data obtained. Prioritizing antibody specificity and
sensitivity is paramount to advancing your understanding of complex biological systems.
• Inaccurate, non-reproducible results can lead to unreliable interpretations of complex
biological phenomena
• Lost samples lead to the need for repeated experiments and result in the loss of important
materials, including primary tumor samples
• Increased spending on reagents, equipment and time for troubleshooting and reevaluating
experiments
16 17
When imaging 3D human-relevant models, we often
want to image samples for days or weeks, which
isn’t always easy with many platforms. We aim for
high resolution, relatively fast imaging and enough
temporal resolution to observe cell divisions and
movements without causing phototoxicity or
photobleaching. Conventional microscopes
typically require prolonged light exposure, which
can harm the sample.
Main Challenge: Phototoxicity and Photobleaching
What are the main
challenges when imaging
3D human-relevant models?
Evaluation of 3D models through microscopy remains the principal method for assessing
physiological responses and obtaining accurate, high-resolution imaging results. However,
using conventional imaging techniques presents its challenges:
ɉ Prolonged and repetitive exposure to intense light, elevated temperatures or toxic imaging
agents can cause phototoxicity and compromise cell viability
ɉ High-intensity laser exposure during manual optimization of imaging parameters can lead
to photobleaching, which impacts the accuracy of results
ɉ Maintaining culture-like conditions to ensure accurate evaluation of organoid growth and
morphology over time
ɉ Difficult image acquisition and resolution due to light scattering and attenuation of the
depth and opacity of the samples
18 19
Swift insights and connectivity across departments,
organizations and external collaborators are fueling
the labs of the future. Automated and AI-driven
assay analysis is table stakes for global analytical
teams. Organizations that embrace advanced digital
tools to contextualize their scientific data will benefit
from more efficient research processes.
Main Challenge: Data Analysis
What challenges do
researchers face when
characterizing complex
organoid models?
Organoid screening is increasingly leveraged in drug discovery due to its ability to model
complex tissue architecture and cellular interactions. However, fully characterizing these
multicellular, heterogeneous systems demands a broad array of assays—including imaging,
luminescence, cytokine profiling, calcium signaling and gene expression analysis. Manual
assay analysis and gathering data from multiple tools can prove cumbersome and unreliable.
ɉ The diversity of data types introduces significant challenges in assay analysis and data
integration
ɉ Manual processing and the use of different tools slow down analysis workflows and
introduce inconsistencies that compromise data reliability
ɉ Improper or fragmented analysis practices can create noise, reduce reproducibility and
hinder the translational potential of organoid-based findings
The pressure to move drugs to clinical trials faster has increased the demand
for scalable, high-throughput screening models. 3D organoid challenges, like
reproducibility, scalability and labor-intensive protocols, shouldn’t limit their
broader adoption.
To address these limitations, Molecular Devices has developed the CellXpress.ai®
Automated Cell Culture System—a fully integrated platform that automates and
standardizes both 2D and 3D cell culture. This system enhances reproducibility,
scalability and efficiency to enable high-content organoid culturing and
screening through:
This purpose-built platform makes advanced cell models more accessible for
drug discovery by improving assay reliability and throughput.
CellXpress.ai, an automated fed-batch bioreactor for industrializing
organoid culture, especially for iPSC and PDO models needing a matrix. It
enables continuous perfusion, large-scale production of up to 18 million
uniform organoids per batch, boosting capacity 25x over manual methods.
The system supports drug perturbation, speeding up patient-derived
organoid research. It integrates liquid handling and a high-capacity
incubator (up to 154 plates) for automated feeding, seeding and passaging.
Its unified software eliminates the need to manage multiple instruments,
using AI, machine learning, K² analysis and neural networks for imageguided decisions, automating culture progression and industrializing
human-relevant models.
Molecular Devices CellXpress.ai Automated
Cell Culture System
20 21
Solution: Industrializing Human-Relevant Models
What advancements are being
made in automating and scaling
cell culture to support humanrelevant biological models?
25x We see a way to boost in-house organoid
production by 25 times compared to
culturing cells by hand.
Molecular Devices
CellXpress.ai™ Automated Cell Culture System
Automated cell
monitoring
using built-in incubation,
liquid handling, media
exchange, reagent
addition and imaging
Automated
quality control
and sample tracking
throughout the entire
lifetime of 2D and 3D cell
cultures
Built-in
imaging
to track the cell journey
and provides imagebased decision-making
AI-powered
software
that acquires and analyzes
data, automates complex
workflows and scheduling
and streamlines processes
to reduce variability
Read the full App Note to discover:
ɉ Automated and scalable workflow for organoid handling and screening
ɉ Deep learning segmentation (SINAP) and phenotypic classification
(Phenoglyphs™) via IN Carta® Image Analysis Software
ɉ High-throughput and reproducible results with reduced manual intervention
ɉ Enhanced physiological relevance for intestinal toxicity assessment
AI-enabled toxicity screening using human
intestinal organoids
Application Note
Choosing fully validated antibodies is essential for improving the quality of
insights gained from imaging workflows. When antibodies show high specificity
and sensitivity and are validated for your specific application, the results
accurately reflect the true biological context. This accuracy allows for more
reliable interpretation of complex spatial relationships and the distribution of
biomarkers within tissues.
Abcam’s mission is to keep your research moving forward. For that, you need
reagents you can trust to deliver reliable, accurate results. Their leading quality
management system works from the very beginning of product development to
after product launch to ensure the high standards of antibody quality you
expect. Their quality is backed by the following:
Our comprehensive portfolio of antibodies is designed to
empower scientists worldwide in their quest to unravel the
fundamental complexities of biology and disease and drive
scientific breakthroughs. We offer a vast selection of highly
cited antibodies, including monoclonal and polyclonal
antibodies, along with an unmatched range of recombinant
monoclonal antibodies.
Explore Abcam’s validation process from beginning to end and find out
how premium recombinant antibodies can help you.
22
Solution: Fully Validated Antibodies
How does vendor quality control
impact antibody specificity,
sensitivity and reliability?
Biophysical
characterization
and quality control(QC) confirm
antibody identity at the molecular
level, ensuring the very highest
batch-to-batch consistency
Application
screening
based on the target product profile
Knock-out
validation
including the use of positive and
negative cell lines, gives you
ultimate confidence in your
antibody’s quality
Abcam’s leading quality management system ensures antibodies perform as indicated for their specific applications. Their process
includes biophysical characterization, application-specific testing and knockout validation to confirm the antibody identity.
23
Utilizing cutting-edge imaging technologies significantly enhances the study of
biological systems by reducing photobleaching and phototoxicity. This allows
researchers to capture high-resolution images over extended periods, ensuring
the integrity of delicate samples while unveiling intricate cellular dynamics.
Evaluation and extracting actionable insights through microscopy remains the
principal method for assessing complex cell models and tissue samples.
Leica Microsystems’ portfolio includes purpose-built imaging
platforms that provide the required deep characterization of
organoids while minimizing laser-induced artifacts.
Leica Microsystems’ Viventis Deep combines multi-view and multi-position
light-sheet imaging to increase spatio-temporal resolution of your complex
biological systems at the cellular level. Its open-top configuration and
multi-position capabilities enable efficient, parallel data collection across
diverse conditions.
Leica Microsystems’ Mica is a purpose-built microhub that makes
microscopy accessible to more scientists, enabling easier live cell imaging
under physiological-like conditions. By eliminating over 85% of setup steps
needed to get to the first image and automating imaging settings, Mica
empowers users to quickly generate higher-quality, accurate results with
confidence and minimal technical input. This results in 33% less time to the
first image and 4x more data with 100% correlation.
Leica Microsystems’ Cell DIVE Multiplex Imaging Solution is a precise,
open multiplexing solution that helps researchers deepen their
understanding of the tissue microenvironment by offering outstanding
spatial mapping of single cells within context. Unveil whole tissue imaging
down to the single cell level, automatically calibrated and corrected to
enable quality analysis downstream.
Leica Microsystems Viventis Deep
Leica Microsystems Mica
Leica Microsystems Cell DIVE Multiplex
Imaging Solution
24 25
Solution: Advanced Imaging Platforms
What innovations are helping
reduce phototoxicity and
photobleaching in spatial
profiling and multiplex imaging?
50% We see a way to train users 50% faster to
image organoids and 3D cultures.
Leica Microsystems
Mica – The world’s first Microhub
Read the full App Note to discover:
ɉ Challenges encountered when imaging 3D culture models
ɉ Key considerations for imaging organoids and spheroids
ɉ Solutions for examining dynamic processes in organoids and spheroids in
real-time
ɉ Going deeper into 3D with correlative light and electron microscopy (CLEM)
Advancing 3D Culture Imaging: Unleashing the
power of microscopy
Application Note
Integrating Leica Microsystems’ Aivia AI Image Analysis Software can
overcome subjectivity and poor reproducibility during image analysis. Aivia
is a uniquely innovative and complete 2-to-5D image visualization, analysis
and interpretation platform designed for the reliable processing and
reconstruction of highly complex images.
Aivia AI Image Analysis Software Key Benefits:
ɉ Get to insights faster with a 69% speedup in 3D analysis pipelines
ɉ Over 45 microscopy file formats supported
ɉ Easy to use machine learning segmentation and classification tools
Genedata Screener Key Benefits:
ɉ 360° view of organoid data in minutes
ɉ Automate and standardize assay analysis
ɉ Speed up decision-making
Genedata Screener automates data capture and analysis needed for
functional characterization of 3D organoid systems. It ensures that data is
analyzed the right way and the same way, every time. The software also
incorporates AI to enable entirely automated, unbiased analyses of
organoid images collected across assays for faster decision-making.
Removing subjectivity and increasing reproducibility
Automating data capture and analysis
26 27
Imaging assays used in drug discovery and development have become
increasingly complex. As organoid research continues to evolve, implementing
robust analytical tools is becoming imperative for streamlining the application of
3D culture testing. AI-driven analysis methods have the potential to deliver
high-quality results in an automated, unbiased way and yield biological insights
not accessible via manual methods.
Solution: Unbiased Insight Creation
What impact does data analysis
have on translational research
using human-relevant models?
74%
50%
We see a way to reduce time from raw
image to fully analyzed data by up to 74%.
Leica Microsystems
Aivia AI Image Analysis Software
We see a way to increase assay
sensitivity by 50% using AI-based
phenotypic classification
Genedata
Genedata Screener
Lung Organoids as an Assay Model for
In Vitro Assessment of Toxicity Effects by
3D High-Content Imaging and Analysis
Exploring the Tumor Immune Landscape
Using Multiplexed Imaging and AI-Powered
Spatial Analysis
3D Tissue Imaging: From Fast Overview
to High Resolution with One Click
From Imaging to Insight: Cell Cycle
Mapping in Tumors with Advanced
Multiplexing & Spatial Profiling
Scale Up Your Screening: Integrating
Automation Into 3D Biology for
Therapeutic Drug Discovery
See How the CellXpress.ai Automated
Cell Culture System Transforms
Cardiovascular Research
How to Choose and Use Antibodies Transforming Research with Spatial
Proteomics Workflows
28 29
Additional Resources
Application Note
Webinar
Application Note
Webinar Webinar Webinar
Application Note Application Note
For research use only. Not for use in diagnostic procedures.
©2025 DH Life Sciences, LLC, DH Tech. Dev. Pte. Ltd., Genedata AG, Leica Microsystems CMS GmbH, Wetzlar,
Germany. Subject to modifications., Molecular Devices, LLC., ID Business Solutions, Ltd. All rights reserved.
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