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  • Per measurement
Use this option when evaluating each measurement against the clusters to see in which cluster a measurement of interest is the highest vs lowest and how that relates to other measurement patterns in a particular cluster.
在针对聚类评估每个测量值时，请使用此选项查看感兴趣的测量值在哪个聚类中最高与最低，以及它与特定聚类中的其他测量模式有何关系。
  • Whole table 整张桌子
Use this option to view outliers to help in data interpretation and observing the overall distribution of measurements (e.g. which measurements have low levels of signal in general). This view is useful for comparing absolute measurement levels across.
使用此选项查看异常值，以帮助解释数据和观察测量的总体分布（例如，哪些测量值通常具有低信号水平）。此视图可用于比较绝对测量水平。
Detection 检波 Phenotyping 表型分析 Spatial insights 空间洞察
 
A translational PI studying epithelial
cells immunostained with 3
biomarkers wants to get the
distribution of 2 phenotypes in one
layer of the skin or distribution of 1
phenotype across different layers of
the skin.
 
3D Multiplexed Cell Detection
recipe with integrated Al can
utilize multiple biomarkers to
detect the cells with varying
morphology
 
Using expert knowledge to train Aivia
using a few examples, the user can
classify phenotypes in different layers of
the skin. Using automatic clustering, a
phenotype of interest can be further
classified for interaction with different
biomarkers for additional insights.
 
Get immediate cell counts and
percentage distribution of each
phenotype
See the distribution of each
phenotype in the biological context
to get a better spatial context
 
A cell biologist currently studying
cells in 3D organoids stained with
markers for the nucleus, cell
membrane and 2 different organelles
and vesicles wants to examine how
different cell characteristics (# of
vesicles, cell size, etc) differ in
organoids in different conditions
 
3D Cell Analysis recipe with
integrated Al can detect
intracellular components of the
cells (cell membrane, nucleus and
up to 5 vesicles) with varying
morphology with distance
measurements
 
Using expert knowledge to train Aivia
using a few examples, the user can
classify cellular phenotypes in the entire
organoids measurements such as # of
vesicles, cell volume, etc. A cellular
phenotype of interest can be further
classified using different measurements
using any of the classification methods
to generate additional insights.
 
Get immediate cell counts and
percentage distribution of each
cellular component and phenotype.
See the distance measurements of
each intracellular component against
the nucleus or the membrane.
See the distribution of each
phenotype in the biological context
and get distance measurements to
cell types/phenotypes of interest.
 
A neuroscientist examining different
neuron types within mouse brain
sections in 3D. Neurons are labeled
with a single marker.
 
3D Neuron Analysis recipe can
detect neuronal somas in dense
neuronal images with integrated
Al, automatically trace the
dendrites, and detect the spines.
 
Using expert knowledge to train Aivia
using a few examples, the user can
classify neuronal phenotypes based on
morphological measurements such as
dendrite counts, # of branches, and
tortuosity. Additional automatic
phenotyping can be performed based
on other measurements such as intensity
measurements
 
Get immediate cell counts and
percentage distribution of neuronal
somas, dendrites, and phenotypes.
Perform for any of the neuronal sub-
structure against other structures of
interest
Leica 
Aivia 14 Package Update and 
Competitive Info 
Won Ynng choi. Ph. Product omner 8 Mennger - Data Analysis 
June 3rid. 2024 
NEW Aivia 14 Features  Aivia Go  Aivia Elevate  Aivia Apex 
15+ simultaneous channel rendering in 3D 
Biologically relevant channels 
3D phenotyping 
Confidence mapping 
2-sided violin plot 
 
Multi-channel auto-ROI detection
ROI analysis
Sample animation
Camera sync for 2D / 3D
Visualize unclassified class
3D multiplex analysis
Updated dendrogram

Value vs Pricing for the Competitive Landscape 

Price Value Map for Multiplexed Image Analysis 
Competitive Product 
Imaris
Launched/Updated: Nov/2023 
Our solution 
  • 2D - 5D image visualization, segmentation and tracking 
  • Artificial intelligence- 
powered segmentation and classification 
  • Full workflow for 2D / 3D spatial biology research optimized for multiplexed images 
  • Faster rate of innovation incorporating latest techniques 

Their story 

  • Global leader in 3D and 4D image analysis for over 25 years 
  • A stable and intuitive product that has a large user base and a long publication list that gives their solution credibility 
  • Imaris can be found in major core facilities and top institutes 

Why we win 

  • Easy integrated Al solutions fo average biologists 
  • Ability to handle complex analysis such as cell detection with only membrane markers and dense images using deep learning 
  • More features per € including 2D handling, 2D / 3D spatial biology applications, multiplexed analysis & batching 

Pricing 

  • Perpetual licenses, leasing and rental options 
  • 6 different packages + add ons 
  • From 13K - 48K USD for standard packages (higher up front cost than Aivia per feature) 

Seeding the doubt 

  • Show-off our Al-based segmentation methods. Ask to compare results (cells with membrane-only stain, densely populated neuron somas) 
  • Faster rate of innovation (2 major releases per year for Aivia with more features, higher # of bugs fixed in a given release period: e.g. 46 bugs fixed in 10 months for Imaris, 177 bugs in 7 months for Aivia) 

Product at a glance 

  • 3D / 4D image visualization segmentation, and tracking 
  • 3D filament tracer for neuroscience research 
  • Data analysis tools including object and pixel based colocalization, and interpretation tools including interactive charts 
  • Pixel and object classification 

Objection handling 

  • Your subscription includes support from our experts to help you quickly set up your image analysis workflow 
  • You do not have to pay penalty to reinstate your subscription (which Imaris imposes for lapsed maintenance) 

Our solution 

-2D - 5D image visualization, segmentation and tracking 
  • Automatic + manual 3D neuron tracer tools 
  • Full workflow for 2D / 3D spatial biology research 
optimized for multiplexed images 
  • Interactive data interpretation tools including dendrogram - ML + DL for segmentation and classification 

Their story 

  • Integrated system for multimodal and multi- 
dimensional image analysis 
  • Hub for collaboration and large-scale image analysis 
  • Accessible advanced Al

Pricing 

image analysis 
  • Perpetual license 
  • 3 different packages + add ons 
  • Arivis Pro: 16K USD

Seeding the doubt 

  • Our built-in, easy to use and fast pixel classifier vs Arivis ilastik pixel and object classification 
  • Ask "how easy was it to 
setup/use Arivis deep learning models?" 
-Ask to compare our membrane-based segmentation results 

Product at a glance 

  • Arivis Pro contains multiple tools for visualization and image analysis, including AI tools and batch processing 
  • Arivis Hub to browse data manage user access and leverage large scale analysis 
  • Arivis Cloud allows for the application of pre-trained or training own DL models 

Objection handling 

  • Your subscription includes support from our experts to help you quickly set up your image analysis workflow 
  • You are always up to date via subscription with the latest innovation with our continuous development 
Additional information: Nikon vs Aivia Battlecards (MC-0005209) 
Competitive Product 
Nikon Segment.ai
Launched/Updated:  

Our Solution 

  • Aivia Pixel Classifier (in all Aivia options) using a random forest algorithm 
  • Ready to use Aivia recipes 
  • Aivia DevMode for custom deep learning model training 
  • Cellpose generalist deep learning cell segmentation 
Additional information: Nikon vs Aiv 
Their Story 
- Easy to use 
- No HW configuration (any 
widefield, any detector, any 
samples) 
- Works for multiple imaging 
modalities including 
brightfield and DIC 

Why We Win 

Different models in 2D & 3D (U-Net, RCAN, random forest) with adjustable parameters 
  • Easy to use/train Pixel Classifier 
2D & 3D neuron analysis
  • ML object classifier to separate 
objects to classes 
  • Pre-trained ML/DL models for 
FL/EM/DIC images 
Ready-to-use recipes 
Robust segmentation with 
Cellpose for variety of imaging 

Pricing 

Software module: 
From 
5-7.000 USD 
(includes Convert.ai, 

Seeding the Doubt 

  • No information about the network architecture 
-Works on 2D images only (no information from the 3D planes) 
  • Stack can be processed but only plane per plane 

Product at a Glance 

  • Segment 2D images using Deep Learning 
  • Can segment images that conventional thresholding methods find challenging 

Objection Handling 

  • Many endpoints can be achieved with a Pixe Classifier which is easy and fast to train and deploy 
  • Pre-set parameters available in recipes with options to modify parameters to fit n handle 2D/3D/4D images using 

Qualification Questions - Aivia Elevate Neuro 

What type of measurements are you interested in? 
Counts/Tracking 
2D measurements (area, circularity etc) 
3D measurements (volume surface area)
Dendritic 
counts/branches/tortuosity 
Spatial biology analysis (dendrogram, dimentionality reduction) 
What types of images are you working with? 
Brightfield or non- 
multiplexed confocal or widefield images 
How is your current solution working out? 
Multiplexed 2D or 3D images 
Is there anything you would like improved? 
What do you currently use for image analysis? 
Do you want to train your own deep learning model? 

Qualification Questions - Aivia Apex 

Qualification Questions - Aivia DevMode Add-On to Any Package 

Objection Handling: The "I Do Not Want a Subscription" Customer 

Reason or Pushback from the customer 
"Why buy a software that will expire?" 
" I do not buy maintenance for my existing software; annual fees are too much hassle." 
"I cannot afford to pay annually / Obtaining funding for an annual subscription is difficult." 
"What happens when I stop subscribing?" 
Counter 
comment  
"With annual subscription, you get access to up-to-date state-of-the-art image analysis and tech/app support to help advance your research at a lower entry price point. You also have the flexibility to adjust your subscription level to accommodate changing needs in your lab. 

Customer Pain Points 

  • High entry price point for perpetual software 
  • Extra costs (maintenance, tech support and upgrades) 
  • Limited stimulus for fast-paced development for perpetual commercial offerings 
  • Hard / cumbersome to adjust licensed functionality 
  • User locked in (hard to find another large amount of $ to buy alternative tool) 
  • Stuck with dated software - if no maintenance paid 
  • No software support - if no maintenance paid 

Follow-up questions to ask the customer 

Does your existing image analysis solution do everything you need or would 

Customer Gains 

you want to see more? 
  • Lower initial access cost (no hidden costs later) 
  • Full flexibility (upgrade/downgrade, add/remove licenses/buy when you need, save when you do not) 
  • Always on the latest version (updates for free) 
  • Dedicated Aivia support (always free access to application & technical support) 
  • Image analysis becomes a consumable (thinkTeams/Zoom) depending on research needs 
  • 3-or 5-year bundles to match grant durations 
Aivia Community (results not lost when subscription ends) 
Key target Audience 
PI 
  • Core facility manager 
How much ($/€) was your existing software package? 

Customer 

Reason or Pushback from the 
"I use an existing image analysis software that is free 
customer 
"I know how to code my own solution which is free" 
Counter 
" I understand. Aivia has a suite of tools, doesn't require plugins and goes through professional development release cycles.
comment Since it is a commercial software, you are fully supported in your use of the software. Have you tried a commercial software to see if it can improve your analysis workflow and improve efficiency so that you can focus on your core research? "

Customer Pain Points

Time lost to find (or create new if none exist) suitable plugins and macros
  • Some freeware have very few updates / not maintained
  • Some freeware have updates daily (annoying)
  • Software dependencies / compatibility for different plug-ins
  • Updates can break plugins/macros (frustrating) with often nowhere to find help
  • Plug-in stops being maintained by creator (e.g. Post-doc/student leaves)
  • Not always intuitive user interface
  • Need to rely on image analysis community for training / help
  • Basic (or even advanced) coding knowledge may be required
Analysis may not be time-cost effective

Follow-up questions to ask the customer

Do you update your existing software? Who is the dedicated person for this?
  • What is your typical image analysis workflow?
  • How much time does analysis take?
  • How confident are you to apply Al to your data currently?
  • Would you like to try Aivia to see how it could facilitate your analysis?
  • Continuous development with Aivia
  • No need to worry dependencies destroying their plugin
  • Al features within a single platform
  • Al access for all, no computer expertise or coding required
  • Python integration - for those who do like to code
  • We add the latest tools from the community (pre-trained deep learning models; e.g. Cellpose and Bioimage model zoo content)
  • Dedicated support (included access to Application & Technical Support)
06 Key target Audience
  • Product evaluator
  • Individual Lab: PhD student or Post-doctorate researcher
  • Core facility image analyst