Neurodegeneration refers to the progressive loss of neuron structure and function that leads to eventual cell death. It is a key feature of neurodegenerative diseases such as Alzheimer's and Parkinson's disease.
The complexity of neural tissue and its location has made researching and developing therapies for neurodegenerative diseases difficult. However, advances in cell models and imaging have now greatly simplified its study.
Download this infographic to:
- Explore the latest advances in modeling neurodegeneration
 - Learn how to get the most out of your cell models
 - Discover how artificial intelligence is streamlining live cell analysis
 
 
    Emerging Technologies in
Research
In vitro models that accurately mimic a biologically 
healthy/diseased state are key to capturing the 
complexities of neurodegenerative diseases. 
Neuroscience has traditionally depended on primary 
neurons and neuron-like cell lines, but these approaches 
do not fully represent the human brain, limiting their 
translational value.
Patient-derived stem cells and more advanced 3D in vitro 
models can mimic the brain more closely. 
A summary of some of the advanced cell models currently 
being employed in neurodegenerative disease research is 
outlined below.
Modeling
NEURODEGENERATION
Advances in
IMAGING AND ANALYSIS
Label-free analysis
Various cell biology techniques are used to 
study neurodegeneration in vitro including flow 
cytometry and high-content imaging. 
The preparation and labeling required in 
traditional cell biology techniques can 
cause significant disruption to the cellular 
environment, a limitation that is overcome with 
the emergence of label-free technologies. 
These technologies have been applied to 
applications including the study of protein 
misfolding and aggregation that play a 
central role in the pathogenesis of various 
neurodegenerative diseases such as 
Huntington’s disease.
Benefits of label-free analysis
 The ligand can retain its native 
conformation and biological activity. Labelfree analysis therefore provides more 
physiologically relevant insights.
 Avoiding labeling agents eliminates the risk 
of unwanted background signals that can 
occur when labels bind non-specifically.
 Label-free technology enables real-time 
interaction analysis that is not possible 
using conventional methods that provide 
only end-point results. These include 
kinetic and affinity analysis and evaluation 
of binding specificity.
Live cell imaging
Traditional, endpoint cell-based experiments such as flow 
cytometry often fail to track subtle yet critical changes 
in cell behavior over time. Real-time, live-cell analysis 
can overcome this and enable the capture of biological 
changes as they occur by repeatedly acquiring images of 
the same cells over long periods.
Live cell imaging is useful when investigating live neuron 
dynamics, as imaging fixed samples does not cover the 
dynamic events that occur during the development and 
regeneration of the nervous system.
Organs-on-chips
Organ-on-a-chip systems contain engineered or 
natural miniature tissues grown inside microfluidic 
chips. They are designed to offer precise 
spatiotemporal control over cell microenvironments 
and can recreate organ-level structure as well as 
provide relevant mechanical cues. 
Researchers have developed an organ-on-a-chip system 
that replicates interactions between the brain, liver, and 
colon. They modeled gut microbe influences on healthy 
brain tissue and PD patients’ tissue samples, finding that 
short-chain fatty acids produced by microbes can further 
exacerbate certain pathologies related to PD.
Human iPSCs
Human induced pluripotent stem cells (iPSCs) 
are a promising cell type for developing more 
reliable neurological in vitro models. iPSCs 
can be derived directly from adult tissue and 
reprogrammed to differentiate into various cell 
types including human neurons. As humanderived iPSCs possess the donor's genetic 
information, they provide access to patientspecific models and as such a more accurate 
way to evaluate individual responses to 
treatments. 
Researchers recently developed a model 
that rapidly converts iPSCs to brain cells 
characteristic of Parkinson’s disease (PD) to 
create personalized stem cell models, providing 
novel opportunities to test treatments.
Organoids
Organoids are 3D cultures containing several 
types of self-organizing cells that perform, 
as a minimum, one function of the organ 
they are mimicking. 3D brain organoids can 
be generated from iPSCs and are useful for 
studying the pathogenic characteristics of 
neurodegenerative illnesses. To improve these 
models structurally and functionally, recent 
efforts have aimed to combine organoids to 
produce larger assembloids.
Researchers have described the construction 
of human blood-brain barrier (BBB) 
assembloids from brain and blood vessel 
organoids derived from human pluripotent 
stem cells.
Neuroimaging techniques such as magnetic resonance 
imaging (MRI) and positron emission tomography (PET) 
allow for non-invasive visualization of the brain's structure 
and function. Recent advances in these technologies, such 
as the development of ultra-high-resolution MRI scanners, 
have transformed the ability to study the anatomical, 
microstructural and physiological changes occurring during 
neurodegeneration in the brain in vivo. 
Neurodegeneration refers 
to the progressive loss 
of neuron structure and 
function that leads to 
eventual cell death.
It is a key feature of neurodegenerative diseases 
such as Alzheimer's and Parkinson's disease. 
The complexity of neural tissue and its location 
has made researching and developing therapies 
for neurodegenerative diseases difficult. 
However, advances in cell models and imaging 
have now greatly simplified its study. 
Somatic cells
iPSC
Embryo
Embryonic
stem cells
iPSCs
Floating 
spheroid
Floating 
spheroid
Cancer cells Somatic 
stem cells
3D culture
Media pump 2
Media pump 1
Cell media 
type 1
Cell media 
type 2
Transepithelial electrical 
resistance sensor
Cell layer
Incubator
Microscope
Soluble 
metabolite
Metabolism
Cell organoid
Extracellular 
matrix
Organoid culture
Tumor or 
cancer tissue
Healthy tissue
Human
Differentiation
Neuron Cardiomyocyte Hematopoietic
stem cell
Reprogramming
+
Reprogramming 
agents
Culture conditions are changed 
to stimulate cells to differentiate 
into different cell types
The next big challenge in neurodegeneration is 
likely to involve the management and analysis 
of the large datasets generated from analysis 
which can include months and even years' worth 
of data. Here, artificial intelligence could help, 
taking the strain off researchers to help process 
vast, complex datasets to reveal new insights 
into neuroscience and disease.
Sponsored by
GETTING THE MOST OUT OF CELL MODELS 
STREAMLINING DATA ANALYSIS
VISUALIZING THE BRAIN IN VIVO
Illustration of the process for reprogramming somatic cells to 
iPSCs and subsequent differentiation.
Schematic representation of the protocol for organoid generation
A model organ-on-a-chip system. This system studies two cell substrates – a cell layer and an organoid.