Advanced benchtop microscopes can deliver resolution on the order of nanometers. However, they are highly invasive and require hours to days of tedious sample preparation, increasing the possibility of artifacts. Imagine a microscope that can capture images in real time directly from a living animal!
Befitting this, laser confocal endomicroscopy (LCE), with its probe-based imaging approach, delivers cellular resolution, while being minimally invasive. Many scientists and imaging core facility managers refer to it as “virtual histology”; it captures real time microscale images like classical histology, in a non-destructive manner. It is a cutting-edge imaging modality with endless possibilities in preclinical imaging.
The FIVE2 (ViewnVivo) from Optiscan Imaging is the latest and most competent model of LCE designed for effortless, real-time preclinical imaging in numerous animal models. This live webinar from two different imaging experts provided scientists and postdocs with the theoretical and practical knowledge about the FIVE2 (ViewnVivo) and its preclinical research applications. Former product manager of FIVE2 technology, Dr. Mohammedayaz Rangrez, gave a hands-on demonstration of the technology, imaging in different tissue types, Z sectioning and other key capabilities of the system. Dr. Howard Dobson from Invicro discussed some of its applications and image analysis illustrated with examples from normal and diseased rodents. This included images of the liver, kidneys and colon. Imaging of the colon was demonstrated using an intraabdominal approach in both rats and mice, as well as through a rectal approach in rats, making it ideally suited for longitudinal studies. In addition, the use of the FIVE2 (ViewnVivo) to image and quantify blood flow in small vessels was illustrated. Examples of quantitative image analysis approaches were included for each organ.
Topics to be discussed in this webinar included:
Hardware functionality and software operation of the FIVE2 (ViewnVivo) – fluorescence in vivo endomicroscope
How to use the FIVE2 (ViewnVivo) for imaging tissue architecture with cellular resolution and for optical sectioning
Examples of normal and abnormal tissues in the abdominal cavity using a variety of fluorophores
Overview of the approach to image analysis
An understanding of applications of the FIVE2 (ViewnVivo) in preclinical research
Fluorescence in vivo Endomicroscopy: Imaging and Analysis (Co-Hosted w/Invicro)
1. Mohammedayaz Rangrez
PhD.
Research Associate
UHN, SRI.
Scintica Instrumentation
Phone: +1 (519) 914 5495
sales@scintica.com
FLUORESCENCE IN VIVO
ENDOMICROSCOPY:
IMAGING AND ANALYSIS
Howard Dobson
DVSc
Senior Director
Invicro
2. WEBINAR
Dr. Mohammedayaz
Rangrez
Introduction to the
Technology
FIVE2 instrument
and functionality
Imaging with FIVE2
X Y imaging
Optical sectioning
Dr. Howard Dobson
In vivo image
acquisition
Image analysis
Summary
14. 14
• The confocal endomicroscope is an
“optical sectioning” device
(Out of focus material turns black, instead of blurry)
• It isolates A thin plane of cells, viewed en face
(en face = parallel to tissue surface, unlike typical cut sections)
• One of the most important user operations
is the control of the imaging plane depth
• Imaging depth up to 400um
• Tissue dependent
THE ‘Z’ DIMENSION
Capturing 3D Volumes and Enabling 3D Visualization
X Axis Y Axis
Z Axis
17. Image does not show included
3-way footswitch, or optional items
Confocal Processor
PC, Monitor, Keyboard
and Mouse
Probe
Animal Stage
and Probe
Holder
Imager Application
+ Fiji (ImageJ)
FIVE2 Components
30. Courtesy of Dr Philip Currie
Cancer Fibrous Tissue Normal Tissue
FIVE2 Images:
Instant, easy, live
and in vivo!
Classical Histology:
Tedious prep, slow,
possible artifacts
and ex vivo!
31. While we switch between our speakers, tell us
more about your research
• What animal models are you working with,
• What types of instruments do you work
with, and
• What are your research goals?
Please type your answers in the Q&A box below:
32. HOWARD DOBSON:
Exploring FIVE2 for animal imaging
Objective was to gain experience acquiring
images and explore the image analysis options
Used normal mice and rats and acute disease
models
35. Liver – thioacetamide
acute liver necrosis
model
• Necrosis present at
24 hours post single
200mg/kg dose
thioacetamide
• Images acquired at
laparotomy
36. Columns of cells
Sinusoids – channels
between cells through
which blood flows
Image of normal liver acquired after the intravenous administration of
FITC followed by topical application of acriflavine.
37. Image of normal liver (Left) and abnormal liver (right) demonstrating
swelling of cells resulting in compression of the sinusoids
38. Image of abnormal mouse
liver acquired two hours
following the intravenous
administration of Annexin
Vivo which binds to the
surface of apoptotic cells
which are distributed
throughout the liver
39. Sinusoid segmentation is
performed using filtration and
adaptive thresholding with
additional morphological
processing.
Sinusoid segmentation is
performed using the same
parameters for both images.
42. Kidney – folic acid
model of acute
renal disease
1 . N ec rosis of ren al t u b u les
p resent at 2 4 h ou rs p ost
2 5 0 mg / kg d ose folic ac id
2 . Images ac q u ired at
lap arotomy
3 . S mall in c ision of t h e kid n ey
capsu le allows g reater
d epth of p en et rat ion
43. Image of a normal kidney
tubules acquired following
intravenous
administration of
fluorescein and topical
acriflavine
Small amounts of fluid
within the tubules can be
identified (Red arrow)
45. Two image analysis approaches
• Both segment tubules from background based on signal
intensity
• Adaptive histogram with adaptive thresholding
• Distance to background transform
• U s e d a s a p rox y f o r t u b u l e d i a m e t e r
47. Plots of the results from
the two tubule
segmentation methods
demonstrating tubule
dilation in the abnormal
kidney, but different
results based on the two
methods.
48. Colon – dextran
sodium sulfate
(DSS) model
A c u t e c o l i t i s a p p r o x i m a t e l y s e v e n
d a y s p o s t 5 % D S S i n t h e d r i n k i n g
w a t e r
• A l f a l f a f r e e d i e t t o a v o i d
a u t o f l u o r e s c e n c e i n t h e g u t
• I m a g e s a c q u i r e d b y
l a p a r o t o m y i n t h e m o u s e a n d
r a t
• I m a g e s c a n b e a c q u i r e d p e r
r e c t u m i n t h e r a t g r e a t e r t h a n
2 5 0 g b o d y w e i g h t
49. Images of the normal (Left) and abnormal (Right) rat colon following
intravenous FITC. The abnormal images demonstrates marked
hypervascularity (Red arrow) and distortion of the tissue architecture
51. Vascular imaging of brain surface in normal
animals
• Probe applied to the surface of the organ via a laparotomy
• Craniotomy and small incision into the meninges to allow
direct access to the brain surface
• Intravenous fluorescein immediately prior to imaging
• Image frames collected at 1.34±0.1s
52.
53. Processing Algorithm
• Image patches of 51 pixel edge length are registered between temporally
adjacent images using normalized cross correlation
• The calculated displacements for each image patch are then translated to
a velocity
• A speed and a velocity map are calculated for each frame
56. Image of the surface of
the colon acquired after
intravenous
administration of
fluorescein
demonstrating vessels of
various sizes
57. In abnormal tissue the
vascularity becomes
tortuous. This can be
quantified using various
vessel branching metrics
58. Branch Metrics
• Radius (R) = average radius
of the branch skeleton
• Length (L) = length of the
smoothed centerline
• Aspect Ratio (AR) =
Length/Radius
• Vessel Branching Fraction
(VBF) = 1/Length
• 4 Measures of Tortuosity
Analysis Methodology - Branch Analysis
59. Poll Question:
Which of the
following would
you like to learn
more about?
(check all that
apply)
The FIVE2 technology
Having an on-site demonstration of the
FIVE2
Invicro’s image analysis capabilities
All the above
60. Conclusions
• The ViewnVivo Five2 system is very easy to use with little
training required
• Image analysis routines can be developed for multiple
specific applications – beyond the simple examples
presented
• Prototype analysis routines developed in MATLAB or using
Python
64. To ask a question, click the Q&A
Button, type your question and click
send. Any questions that are not
addressed during the live webinar will
be answered following the event.
Please indicate whom you want to
address your question.
Thank you for participating!
Q&A
SESSION:
Mohammedayaz Rangrez
PhD.
Research Associate
UHN, SRI.
Howard Dobson
DVSc
Senior Director
Invicro