client and cloud computing for 3D reconstruction
and analysis of biomarkers
in sectioned tissue for
pathology or histology
contact info
insert here
histo.io
why are we here?
contents
a. Pitch Deck: product, buisiness model, vision, team.
b. Intellectual Asset Portfolio: what is unique about the product?
c. Market: size, growth, beachhead, dynamics, competition.
d. Monetization: B2C and B2B offers.
e. Operation: costs, legal compliance, headcounts.
f. Appendix: appendix
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- cost of drug discovery has skyrocketed.
- despite advances in high-throughput biotechnology (cloning, sequencing)
- high-throughput still requires manual work by highly qualified personnel.
Especially the part of data analysis and bioinformatics.
parts of the R&D process has improved yet overall efficiency has declined
Eroom's law
Shannell et al. (2012) Nature. Rev. Drug Discovery
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- cost of drug discovery has skyrocketed.
- despite advances in high-throughput biotechnology (cloning, sequencing)
- high-throughput still requires manual work by highly qualified personnel.
Especially the part of data analysis and bioinformatics.
parts of the R&D process has improved yet overall efficiency has declined
Eroom's law
Shannell et al. (2012) Nature. Rev. Drug Discovery
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meanwhile sequencing costs have plummeted
genome.gov/sequencingcosts
histology meets nextgen sequencing
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arrayed oligos
TomoSeq
in situ sequencing
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Principle: Capturing mRNA
on an arrayed microscope slide
Principle:
Mechanical sectioning
subsequent reconstruction
Principle:
Reverse transcription and amplification directly in tissue.
The product is a better way to find biomarkers for researchers
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labeling of biomarkers in tissue
in situ hybdridization (ISH)
immmunohistochemistry (IHC)
fluorescent proteins (FP)
signal to noise ratio
- Target: RNA / DNA
- Probe: cDNA/cRNA
- Target: Endogenously expressed proteins
- Probe: antibodies
- Target: Transgenically expressed proteins
- Probe: viral vectors, transgenic animals.
The product is a better way to find biomarkers for researchers
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tissue processing in research and pathology
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Tissue handling, sectioning, labeling and imaging has largely been automized for routine tasks.
- Analysis and exploration of result is largely done by manual inspection.
The product is a better way to find biomarkers for researchers
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Manual Image capturing of tissue
sections
Manual transfering and stitching of image tiles
Manual Post Processing in 3rd party software (photoshop, ImageJ)
Manual extraction and annotation
of labeled features
Manual image compression
Manual statistical analysis
Manual visualization and sharing of findings
today's workflow for tissue analysis for biomarker discovery
Manual catalogization of images
Manual identification of reagent
Manual validation of reagent inhouse
Biomarker discovery
Manual ordering of reagent from 3rd party
The product is a better way to find biomarkers for researchers
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Manual Image capturing of tissue
sections
WholeBrain
desktop or server client
WholeBrain
cloud storage and
analysis
workflow with wholebrain
Biomarker discovery
automated processing of terabyte of
image data
collaborative platform in the cloud
openbrainmap.org
The product is a better way to find biomarkers for researchers
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MUSD/Biomarker
days/Biomarker
125% cheaper
100x faster
today's workflow
with WholeBrain
business model
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4-sided. B2B and B2C clients
"Ad-words" like model where Reagents suppl. pay for reagent impressions next to relevant user data that match their products
Exclusive Rev-share/licensing model for differentiation vs other Microscopy vendors
WholeBrain
Academic Researcher
- universities
- institutes
Microscopy manufactures
- Zeiss
- Leica
- Olympus
- Nikon
Rev-share
Reagents suppliers
- Sigma-Aldrich
- Thermo-Fisher
- Jackson ImmunoResearch
- Synaptic systems
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SDK
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Transaction and Data
Basic software + Ads
client
prioritization
Industry Researcher
- biomarker drug discovery
Astra Zeneca
- Subscription based business model to cater for ownership of data and company specific requirements.
Preemium
license
- Freemium model with transactional based add-ons.
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Subscription fee
Money for data/ads
Basic User data or
ad-impressions
the team
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daniel fürth
viktor ängmo
professional experience
- Business Development Manager
- MTG technology -
Part-owner and business development
- Luxbright (cathode x-ray tubes)
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Education
MSc/MMed in Entreprenuership & Business Creation Biotechnology
- Chalmers University of Technology & Gothenburg University
professional experience
- Doctoral student
- Department of Neuroscience, Karolinska Institutet
Education
- Bachelor in Medical Science
- Karolinska Institutet
contents
a. Pitch Deck: product, buisiness model, vision, team.
b. Intellectual Asset Portfolio: what is unique about the product?
c. Market: size, growth, beachhead, dynamics, competition.
d. Monetization: B2C and B2B offers.
e. Operation: costs, legal compliance, headcounts.
f. Appendix: appendix
software suite
intellectual asset portfolio
openbrainmap.org
WholeBrain
open brain map
fisseq with R
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Technology:
deskop application for image processing of microscope images of tissue
Technology:
'Google Maps'-like cloud based interface for neuroanatomical data. Since the brain has a particular anatomy not seen in any other organ.
Technology:
desktop application for image enhancement and basecalling, sequence alignment and bioinformatics in high-dimensional big data (> 1Tb) next-gen sequencing raw FISSEQ images.
cloud storage
intellectual asset portfolio
front end
user verification
account
cloud SSD backend
AWS S3 storage
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End user registers for an account at histoflurp.com Freemium model up to a certain limit (10 Gb).
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histoflurp.com account is linked against our cloud backend which with SSD can quickly serve up images and content for use with our software suite.
- Permanent storage of images is done at
amazon S3 AWS.
researcher
end user
contents
a. Pitch Deck: product, buisiness model, vision, team.
b. Intellectual Asset Portfolio: what is unique about the product?
c. Market: size, growth, beachhead, dynamics, competition.
d. Monetization: B2C and B2B offers.
e. Operation: costs, legal compliance, headcounts.
f. Appendix: appendix
Next-Gen Sequencing for oncology biopsy is our beachhead market
market
- The primary industry of focus is the industry for Wholebrain is in the next gen sequencing market for Oncology.
- Current therapy selection decisions are based on the outcome of a biopsy tests. Most common tests are immunoassays, sequencing or Histology to select a treatment.
- The ideal test can provide the pathologist with enough data to prescribe the correct therapy and not risk of prescribing a therapy without effect.
- The current state of data granularity on the sequencing methods is “single-cell – gene expression”. It can reveal rare cellular properties and biologically meaningful cell-to-cell variability. Still, pathologists are blindfolded when it comes to understanding the cause of the cancer for a patient in subject. Resulting in risk of wrong therapy selection.
- To be able to reach the ideal test, two pieces of data needs to be added to the biopsy test. 1) sub-cell building blocks (mRNA) and 2) spatial information. With this information you are able to find the driver of mutations and the pathways.
- The oncology sequencing market now embarks on a next phase, where numerous of companies all across the value chain will collectively work towards the goal of reaching this “Spatially-resolved Transcriptomics”.
Oncology Sequencing Market State
Sequencing is one method for choosing oncology therapy
Oncology
Health care chain
Predict
Diagnose
Inform
Treat
Risk assessment
Definitive diagnosis
Prognosis
Screening
Therapy selection
Development
resistance screening
Monitoring
Follow-up
Diagnosis
Histopathology
Immunoassays
Sequencing
NextGen Sequencing (NGS) market is estimated to grow at 20% CAGR and reach 12 billion USD in 2021
market
Our main target group are Research Institutes buying, reagents in North America and Europe working on RNA based methods as they make up the vast majority of the market.
Total NGS Market 2016-2021 (BUSD)
Total NGS Market segmented (2015)
Market entering strategy
market
We can enter that market by grabbing a share of the Tertiary Software Market that is suffering from poor tools to provide insights on what reagents to buy
Annual budget for software to analyze NGS data
Average time spent analyzing NGS data
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The market is fueled by massive investments in precision based medicine
market
our vision
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a long lasting impact on spatial information handling and analysis in pathology, diagnostics and microscopic image analysis
- Essentially doing for pathology and microscopic image analysis what Google did for geography.
- The field of microscopic image analysis is akin to cartography in a pre Google Maps era.
- Both data collection and analysis is still largely manual.
- There is no central source where data can be anchored in a spatial reference frame.