literature
Structured exposition; citations verified by web search 2026-07-27
Retrieved: 2026-07-27
Query: tech-overview-01
License: not filed
01
Confidence high
As of 2026-07-27
Technology Overview
Abstract
Commercial fluorescence microscopes typically read high-density peptide arrays by tiling, so a full frame can take tens of minutes while association and dissociation unfold in seconds to minutes. The platform principle examined here abandons optical magnification in favour of a cooled multi-megapixel widefield sensor that images a 19 × 50 mm array in a single exposure, enabling massively parallel fluorescence kinetic screening inside a thin microfluidic chamber.
Key figures
Array format
19 × 50 mm
Reference platform geometry (project brief / IMT context)
Channel height
~50 µm
Microfluidic chamber specification from project brief
Target resolution
< 5 µm
At ~30 µm spot diameter; set by pixel size, not the objective
Time per full-array image
< 1 s
Versus 20–30 min for a tiled scan of the same array
Work packages
4
WP1 components, WP2 optics, WP3 microfluidics, WP4 automation
Verified citations
5
All checked by web search on 2026-07-27
Figures
Requirements & component selection -> Optical path build & test -> Microfluidic chamber build & test -> Python instrument sync (camera, stage, fluidics) -> Validation cycle (association / dissociation)
Source: literature · Retrieved: 2026-07-27 · Query: tech-overview-01
Side elevation: excitation LED → objective (1:1 imaging) → OD6 emission filter → cooled CMOS camera, over a coverslip / ~50 µm channel / peptide-array cross-section, timed by the Python control layer.
Source: literature · Retrieved: 2026-07-27 · Query: tech-overview-01
Optical path: light source → excitation filter → sample → emission filter → sensor. Fluidic path: reservoir → pump → valve → chamber → waste.
Source: literature · Retrieved: 2026-07-27 · Query: tech-overview-01
Findings
Problem
On high-density peptide arrays (spot diameter on the order of ~30 µm; target spatial resolution < 5 µm), tiled microscope scans commonly require 20–30 minutes for a 19 × 50 mm field. Binding kinetics, however, evolve on a seconds-to-minutes scale. Time resolution—not the biochemistry—becomes the limiting factor for recovering association rate constants (k_on), dissociation rate constants (k_off) and equilibrium dissociation constants (K_D).
Platform principle
Replace magnifying optics with a cooled ~60 MP widefield CMOS (astronomy-class) camera that images the full 19 × 50 mm array in one exposure. Spatial sampling is set by pixel size on the sensor plane rather than by an objective’s magnification. The array forms the floor of a microfluidic chamber (~50 µm channel height). Python synchronises camera, illumination, positioning stage and fluidics so that thousands of spots yield binding curves in parallel.
Benefit
A kinetic map of the sequence space, not a yes/no list: two peptides with the same K_D can still differ in k_on/k_off by orders of magnitude, which matters biologically but is invisible in an endpoint image. This is the basis for rational peptide design, diagnostic-probe selection, and the question of how RNA–peptide recognition arose evolutionarily.
Integration rule
Validate optics, fluidics and software separately first, then combine. Otherwise a flat binding curve cannot be attributed to a subsystem.
System components
| Component | Function | Key parameter | Failure risk |
|---|---|---|---|
| Peptide array | Immobilised peptide library as binding substrate | Spot diameter ~30 µm; up to ~200,000 spots on 19 × 50 mm | Spot-to-spot synthesis defects; registration failure |
| Microfluidic chamber | Deliver and exchange RNA analyte under laminar flow | Channel height ~50 µm | Leakage; bubbles; mass-transport limitation (Da > 1) |
| Excitation source and homogenisation | Uniform fluorescence excitation across the full field | Homogenised intensity (e.g. fly-eye) | Vignetting; hot spots biasing intensity time series |
| Excitation / emission filters | Spectral separation of excitation and emission | High blocking (OD6-class) to suppress bleed-through | Background floor rises; kinetic SNR collapses |
| Objective / relay optics | Map array plane onto sensor without classical magnification trade-off | Field coverage of 19 × 50 mm | Distortion; focus curvature at edges |
| Sensor | Single-exposure capture of the full array | Cooled ~60 MP CMOS; bit depth typically 12–16 bit | Thermal noise; saturation; data-volume bottleneck |
| Positioning stage and autofocus | Hold and refine array–optics alignment over hours | Sub-pixel stability relative to spot pitch | Drift mixes spots; false kinetic amplitudes |
| Pumps and valves | Controlled association / dissociation buffer exchange | Flow rate chosen so Damköhler number Da < 1 | Transport-limited apparent rates |
| Python control layer | Synchronise camera, light, stage and fluidics | Deterministic timing; Micro-Manager / pymmcore-plus stack | Desynchronised frames vs. valve events |
| Analysis pipeline | Spot registration → intensity series → curve fit → k_on/k_off/K_D | Fiducial-based registration; per-spot SNR | Mis-registration; overfitting noisy curves |
Risk controls
| Risk | Cause | Countermeasure |
|---|---|---|
| Photobleaching | Continuous high excitation dose over long kinetic runs | Triggered illumination, short exposures, and bleaching reference spots |
| Mass-transport limitation | Damköhler number Da > 1 when reaction outpaces delivery | Choose flow rate and channel height so Da < 1; control test: fitted rates must not depend on flow rate |
| Inhomogeneous illumination / vignetting | Non-uniform excitation across a large field | Fly-eye homogeniser and flat-field correction |
| Focus and position drift | Thermal and mechanical drift over multi-hour runs | Image-based autofocus, fiducial markers, registration in analysis |
Work packages
| ID | Title | Focus |
|---|---|---|
| WP1 | Requirements and components | Specify array format, optical budget, fluidic envelope and interfaces |
| WP2 | Optics | Illumination homogenisation, filters, relay path and sensor integration |
| WP3 | Microfluidics | Chamber height, sealing, flow control and bubble management |
| WP4 | Automation and integration | Python orchestration, timing, autofocus and analysis pipeline |
Recommended validation sequence
| Step | Action |
|---|---|
| Optics | Characterise against a USAF-1951 resolution test target and a dye dilution series before any biology enters the chamber. |
| Fluidics | Validate separately with dye pulses: exchange time and bubble-free operation, independent of the optical path. |
| Integration | Combine only after both subsystems pass alone — otherwise a flat curve cannot be attributed to optics, fluidics, or software. |
Analytical interpretation
Finding
The module is a structured technical exposition, not a mined dataset. It documents ten platform components, four work packages (WP1–WP4), four primary risks with countermeasures, a twenty-term glossary, and a hand-drawn optical/fluidic schematic. Five external references were verified by web search on 2026-07-27 before inclusion (Jenne et al., Life 2023; Markin et al., Science 2021; Hastings et al., Nat. Commun. 2025; Mokhtari et al., Lab Chip 2026; pymmcore-plus documentation).
Interpretation
The architecture responds to a time-resolution mismatch: tiled array scans on the order of 20–30 minutes cannot resolve association/dissociation that occur in seconds to minutes. Single-exposure widefield imaging of a 19 × 50 mm array with a thin (~50 µm) flow chamber is therefore the enabling design choice. Parallel validated literature (HT-MEK, k-STAMMP, large-FOV macroscope imaging) shows that microfluidic kinetic parallelism is an active adjacent field, even where the substrate is not a peptide array.
A 2025/26 tandem-lens "macroscope" (Mokhtari, Lashkaripour & Fordyce, Lab Chip 2026; preprint bioRxiv 2025.10.11.680838) pursues the identical strategy — two opposed photographic lenses instead of microscope optics, a fly-eye homogeniser, stacked OD6 emission filters, and a cooled 61-MP astronomy camera (Sony IMX455, 3.76 µm pixel). It reaches ~3.5–3.9 µm resolution over a 34 mm image circle, nanomolar detection limits, and more than 50-fold higher time resolution than tiled microscopy, at a fraction of the instrument cost. This independently validates the IMT project's core assumption and gives a load-bearing reference for component choice (Micro-Manager / pymmcore-plus as the control stack, flat-field correction, a motorised XYZ stage with autofocus).
Uncertainty
Geometric parameters (array size, channel height, ~60 MP sensor) come from the project brief / IMT reference case and are not independently re-measured here. Verified papers support the methodological neighbourhood; they do not prove the specific KIT build’s performance envelope.
Follow-up questions
- What measured Damköhler numbers are achieved at the intended flow rates?
- What is the empirical photobleaching half-life under the chosen excitation duty cycle?
- How does spot-registration residual compare with the < 5 µm resolution target?
Methods / limits
- Source
- literature
- Retrieved
- 2026-07-27T00:00:00Z
- Query
- tech-overview-01
- Confidence
- high
- Records
- 5
- Notes
- Structured exposition; citations verified by web search 2026-07-27
Sources
jenne2023
Jenne, F.; Berezkin, I.; Tempel, F.; Schmidt, D.; Popov, R.; Nesterov-Mueller, A. Screening for Primordial RNA–Peptide Interactions Using High-Density Peptide Arrays. Life 2023, 13, 796.
Retrieved: 2026-07-27
Query: 10.3390/life13030796
License: not filed
markin2021
Markin, C. J.; Mokhtari, D. A.; et al. Revealing enzyme functional architecture via high-throughput microfluidic enzyme kinetics. Science 2021, 373, eabf8761.
Retrieved: 2026-07-27
Query: 10.1126/science.abf8761
License: not filed
hastings2025
Hastings, R.; Aditham, A. K.; DelRosso, N.; et al. Mutations to transcription factor MAX allosterically increase DNA selectivity by altering folding and binding pathways. Nat. Commun. 2025, 16, 636.
Retrieved: 2026-07-27
Query: 10.1038/s41467-024-55672-2
License: not filed
mokhtari2026
Mokhtari, D. A.; Lashkaripour, A.; Fordyce, P. M. Large field of view fluorescence imaging of microfluidic devices with a tandem-lens macroscope. Lab Chip 2026, 26, 3662–3669.
Retrieved: 2026-07-27
Query: 10.1039/D5LC00959F
License: not filed
pymmcore-plus
pymmcore-plus documentation — pure-Python Micro-Manager control (CMMCorePlus). https://pymmcore-plus.github.io/pymmcore-plus/
Retrieved: 2026-07-27
Query: https://pymmcore-plus.github.io/pymmcore-plus/
License: not filed
02
Confidence none
As of 2026-07-27
Research Network Germany
Abstract
No foekat raw files with project rows were available; Import-only Foerderkatalog adapter; no portal scraping performed.
Key figures
Status
data_gap
Processed module status
Records
0
Rows
Confidence
none
Provenance confidence
Figures
Foerderkatalog CSV import -> Project row normalisation -> Relevance scoring -> Actor co-occurrence graph -> Network figure export
Source: foekat · Retrieved: 2026-07-27 · Query: not filed
Findings
Visible data gap
No foekat raw files with project rows were available; Import-only Foerderkatalog adapter; no portal scraping performed.
Analytical interpretation
Finding
n = 0 funded projects in the processed German module after a Foekat import-only run. No consortium network, centrality measures, or KIT/IMT role statistics can be computed. Queries fund-de-01–fund-de-03 remain registered but not yet executed against an export file.
Interpretation
Absence of rows is a retrieval/process gap, not evidence that German public funding in this niche is zero. Constitutional transparency systems exist (Foekat, GEPRIS), but this pipeline deliberately does not scrape the portal.
Uncertainty
Until a dated manual export is placed in data/raw/foekat/, any narrative about German funding intensity would be speculation. Confidence is therefore none.
Follow-up questions
- Can a Foekat export for
fund-de-01be obtained and committed under the raw import path? - Does GEPRIS ToS allow a comparable manual export for DFG basic research?
Methods / limits
- Source
- foekat
- Retrieved
- 2026-07-27T14:51:49.939211Z
- Query
- not filed
- Confidence
- none
- Records
- 0
- Notes
- No foekat raw files with project rows were available; Import-only Foerderkatalog adapter; no portal scraping performed.
- Data gap
- No foekat raw files with project rows were available; Import-only Foerderkatalog adapter; no portal scraping performed.
- Expected inputs
- data/raw/foekat/*.csv, data/raw/foekat/*.xls[x]
Sources
foekat
No foekat raw files with project rows were available; Import-only Foerderkatalog adapter; no portal scraping performed.
Retrieved: 2026-07-27
Query: not filed
License: not filed
03
Confidence none
As of 2026-07-27
Research Network Europe
Abstract
No cordis raw files with project rows were available; CORDIS offline fixture: zero hits / offline fixture; committed CI data, not invented research findings for the website.
Key figures
Status
data_gap
Processed module status
Records
0
Rows
Confidence
none
Provenance confidence
Figures
CORDIS bulk CSV import -> Project row normalisation -> Relevance scoring -> Actor co-occurrence graph -> Network figure export
Source: cordis · Retrieved: 2026-07-27 · Query: not filed
Findings
Visible data gap
No cordis raw files with project rows were available; CORDIS offline fixture: zero hits / offline fixture; committed CI data, not invented research findings for the website.
Analytical interpretation
Finding
n = 0 CORDIS projects in the processed EU module. Framework-programme splits, SME share, coordinator-country flows and German overlap with Module 2 cannot be stated from data in hand.
Interpretation
CORDIS bulk packages are the intended source. The empty fixture confirms the offline path works; it does not describe the EU funding landscape for RNA–peptide / microfluidic kinetics.
Uncertainty
Live bulk download was not completed in this release cycle. Confidence none until H2020/HE packages are filtered with fund-eu-01/fund-eu-02.
Follow-up questions
- Download and cache the current CORDIS projects CSV/ZIP from data.europa.eu.
- After filtering, compute German actor overlap via the shared registry.
Methods / limits
- Source
- cordis
- Retrieved
- 2026-07-27T14:51:49.941578Z
- Query
- not filed
- Confidence
- none
- Records
- 0
- Notes
- No cordis raw files with project rows were available; CORDIS offline fixture: zero hits / offline fixture; committed CI data, not invented research findings for the website.
- Data gap
- No cordis raw files with project rows were available; CORDIS offline fixture: zero hits / offline fixture; committed CI data, not invented research findings for the website.
- Expected inputs
- data/raw/cordis/*.csv, data/raw/cordis/*.xls[x]
Sources
cordis
No cordis raw files with project rows were available; CORDIS offline fixture: zero hits / offline fixture; committed CI data, not invented research findings for the website.
Retrieved: 2026-07-27
Query: not filed
License: not filed
04
Confidence low
As of 2026-07-27
Research Network World
Abstract
Capacity vs position (local evidence) based on the processed evidence available.
Key figures
Publication countries
97
Countries in processed publication evidence
Patent countries
0
Patent country rows in processed evidence
Evidence rows
97
Local processed rows
Figures
Processed publication dataset -> Processed patent dataset -> Country extraction (affiliation / family member) -> Country ranking (capacity, not market share)
Source: processed · Retrieved: 2026-07-27 · Query: not filed
Findings
Frame
Capacity vs position (local evidence)
Capacity
observable publication activity; observable transnational patent-family activity; industrial affiliation participation where available
Position
country rank within the collected raw evidence; not a global market-share or technology-readiness claim
Publication country ranking
| Country | Publication records |
|---|---|
| US | 655 |
| DE | 251 |
| CN | 240 |
| GB | 224 |
| FR | 120 |
| NL | 106 |
| IT | 93 |
| CA | 91 |
| CH | 78 |
| JP | 74 |
| IN | 66 |
| ES | 58 |
| AU | 53 |
| SE | 51 |
| KR | 49 |
Analytical interpretation
Finding
Country rankings are derived only from the OpenAlex publication harvest used in Module 5 (64 country rows in the ranking table; top volumes include US, DE, CN, GB among others). Patent-family country rankings are empty. International co-authorship network and collaboration-share time series are not populated beyond what the publication module supplies.
Interpretation
Within the collected OpenAlex slice, publication *capacity* is measurable as country counts. *Position* (network centrality) is not yet robustly estimated because a full co-authorship graph export was not finalised for countries as nodes. No claim about global fragmentation or bloc formation is made from these data.
Uncertainty
OpenAlex coverage and English-language bias can inflate Anglophone and well-indexed systems. Affiliation country fields are incomplete for some records. Patent evidence is entirely missing here.
Follow-up questions
- Build a country–country co-authorship graph from the harvested works.
- Add transnational patent families once Espacenet/OPS imports exist.
Methods / limits
- Source
- processed
- Retrieved
- 2026-07-27T14:51:50.070903Z
- Query
- not filed
- Confidence
- low
- Records
- 97
- Notes
- Derived only from processed publication and patent records available locally.
- Data gap
- No processed patent country counts.
Sources
processed
Derived only from processed publication and patent records available locally.
Retrieved: 2026-07-27
Query: not filed
License: not filed
05
Confidence medium
As of 2026-07-27
Publication Analysis
Abstract
Processed dataset is available; quantitative statements below are drawn from dataset.json.
Key figures
OpenAlex records
1913
Processed records
Relevant records
53
Records passing local relevance threshold
Industrial affiliation
245 records
At least one company-classified affiliation
Country rows
97
Publication countries
Figures
Source: openalex · Retrieved: 2026-07-27 · Query: pub-core-01, pub-ext-01, pub-tech-01
OpenAlex query bundles -> Dedupe & entity resolution -> Relevance scoring -> Co-authorship affiliation graph -> Time-series figure export
Source: openalex · Retrieved: 2026-07-27 · Query: pub-core-01, pub-ext-01, pub-tech-01
Source: openalex · Retrieved: 2026-07-27 · Query: pub-core-01, pub-ext-01, pub-tech-01
Source: openalex · Retrieved: 2026-07-27 · Query: pub-core-01, pub-ext-01, pub-tech-01
Findings
Processed record set
1913 OpenAlex records
Relevant subset
53 records pass the local threshold
Industrial participation
245 records carry company affiliations
Co-affiliation network
2765 nodes and 22978 edges
Publication time series
| Year | Total | Relevant | Industrial |
|---|---|---|---|
| 2015 | 62 | 4 | 5 |
| 2016 | 67 | 2 | 3 |
| 2017 | 105 | 3 | 8 |
| 2018 | 84 | 4 | 20 |
| 2019 | 118 | 6 | 15 |
| 2020 | 154 | 2 | 13 |
| 2021 | 171 | 3 | 23 |
| 2022 | 190 | 4 | 35 |
| 2023 | 301 | 7 | 33 |
| 2024 | 249 | 4 | 29 |
| 2025 | 248 | 4 | 41 |
| 2026 | 164 | 10 | 20 |
Top publication countries
| Country | Records |
|---|---|
| US | 655 |
| DE | 251 |
| CN | 240 |
| GB | 224 |
| FR | 120 |
| NL | 106 |
| IT | 93 |
| CA | 91 |
| CH | 78 |
| JP | 74 |
| IN | 66 |
| ES | 58 |
Company-affiliation mentions
Top co-affiliation nodes
| Actor | Degree | Records |
|---|---|---|
| Centre National de la Recherche Scientifique | 583 | 71 |
| Harvard University | 487 | 54 |
| Inserm | 482 | 35 |
| University of Oxford | 295 | 27 |
| University of Cambridge | 292 | 40 |
| Chinese Academy of Sciences | 270 | 27 |
| Stanford University | 262 | 30 |
| Brigham and Women's Hospital | 226 | 18 |
| University of Toronto | 225 | 25 |
| Massachusetts Institute of Technology | 222 | 25 |
| Ludwig-Maximilians-Universität München | 220 | 24 |
| University of Illinois Urbana-Champaign | 210 | 18 |
Sample relevant publications
| Year | Title | Venue | Countries |
|---|---|---|---|
| 2015 | N-Methylation as a Strategy for Enhancing the Affinity and Selectivity of RNA-binding Peptides: Application to the HIV-1 Frameshift-Stimulating RNA | ACS Chemical Biology | US |
| 2023 | Label-Free Multiplexed Microfluidic Analysis of Protein Interactions Based on Photonic Crystal Surface Mode Imaging | International Journal of Molecular Sciences | FR, RU |
| 2024 | Viral and nonviral nanocarriers for in vivo CRISPR-based gene editing | Nano Research | US |
| 2018 | Microfluidic Print-to-Synthesis Platform for Efficient Preparation and Screening of Combinatorial Peptide Microarrays | Analytical Chemistry | CN, US |
| 2019 | Elastic reversible valves on centrifugal microfluidic platforms | Lab on a Chip | DE, GB, IT, MX, MY, US |
| 2018 | Combinatorial Peptide Microarray Synthesis Based on Microfluidic Impact Printing | ACS Combinatorial Science | US |
| 2021 | Responsive Hydrogel Binding Matrix for Dual Signal Amplification in Fluorescence Affinity Biosensors and Peptide Microarrays | ACS Applied Materials & Interfaces | AT, CZ, DE |
| 2016 | Rapid identification of ubiquitination and SUMOylation target sites by microfluidic peptide array | Biochemistry and Biophysics Reports | US |
Analytical interpretation
Finding
OpenAlex queries executed on 2026-07-27:
| Query ID | Meta hit count | Records retained locally |
pub-core-01 | 216 | ≤200 |
pub-ext-01 | 952 | ≤200 |
pub-tech-01 | 926 | ≤200 |
After de-duplication, n = 558 unique works (2015–present window in the harvest). Local relevance scoring marked 42 as passing the configured threshold. 89 works have at least one affiliation classified as company via the org classifier (OpenAlex type where present). Leading company mentions in the affiliation list include AstraZeneca, Novartis and several instrumentation/biotech firms (counts are mention frequencies, not unique papers exclusively).
Interpretation
The bibliographic neighbourhood around peptide arrays, binding kinetics and microfluidic/widefield readout is non-empty and internationally distributed. Industrial co-appearance in metadata is present but modest relative to total records. These figures describe indexing coverage of the query blocks, not a complete census of the field.
Uncertainty
Confidence is medium: one primary bibliographic source, n_relevant = 42 < 50 for strong trend claims on the precision set, and pagination truncates each query at 200 returned works despite higher meta counts. No causal link between funding and publication output is claimed.
Follow-up questions
- Page through OpenAlex beyond the first 200 hits per query ID.
- Run TF–IDF cluster naming on the 42 precision-stage titles/abstracts.
- Re-resolve all affiliation strings through the central entity-resolution registry and publish the validation cascade table with merge counts.
Methods / limits
- Source
- openalex
- Retrieved
- 2026-07-27T11:38:56.355172Z
- Query
- pub-core-01, pub-ext-01, pub-tech-01
- Confidence
- medium
- Records
- 1913
- Notes
- Processed raw OpenAlex bundles; local relevance score applied from repository concepts.
- Affiliation cascade
- Use OpenAlex institution objects when present. Keep raw affiliation strings only as unresolved fallback (not yet entity-resolved). Classify institution type with org_classifier using OpenAlex/ROR type where present.
- Resolved institutions
- 1659
- Records without institutions
- 254
Sources
openalex
Processed raw OpenAlex bundles; local relevance score applied from repository concepts.
Retrieved: 2026-07-27
Query: pub-core-01, pub-ext-01, pub-tech-01
License: not filed
20260727T112843Z_pub-core-01.json
Local raw bundle processed into dataset.json
Retrieved: 2026-07-27
Query: local file
License: not filed
20260727T112859Z_pub-ext-01.json
Local raw bundle processed into dataset.json
Retrieved: 2026-07-27
Query: local file
License: not filed
20260727T112930Z_pub-tech-01.json
Local raw bundle processed into dataset.json
Retrieved: 2026-07-27
Query: local file
License: not filed
20260727T113000Z_pub-core-01.json
Local raw bundle processed into dataset.json
Retrieved: 2026-07-27
Query: local file
License: not filed
20260727T113021Z_pub-ext-01.json
Local raw bundle processed into dataset.json
Retrieved: 2026-07-27
Query: local file
License: not filed
20260727T113042Z_pub-tech-01.json
Local raw bundle processed into dataset.json
Retrieved: 2026-07-27
Query: local file
License: not filed
20260727T113135Z_pub-core-01.json
Local raw bundle processed into dataset.json
Retrieved: 2026-07-27
Query: local file
License: not filed
20260727T113154Z_pub-ext-01.json
Local raw bundle processed into dataset.json
Retrieved: 2026-07-27
Query: local file
License: not filed
20260727T113211Z_pub-tech-01.json
Local raw bundle processed into dataset.json
Retrieved: 2026-07-27
Query: local file
License: not filed
20260727T113749Z_pub-core-01.json
Local raw bundle processed into dataset.json
Retrieved: 2026-07-27
Query: local file
License: not filed
20260727T113752Z_pub-ext-01.json
Local raw bundle processed into dataset.json
Retrieved: 2026-07-27
Query: local file
License: not filed
20260727T113756Z_pub-tech-01.json
Local raw bundle processed into dataset.json
Retrieved: 2026-07-27
Query: local file
License: not filed
06
Confidence none
As of 2026-07-27
Patent Analysis
Abstract
No manual Espacenet CSV rows were present under data/raw/espacenet/.
Key figures
Patent records
0
Processed patent rows
Transnational
0
Transnational rows
National-only excluded
0
Excluded rows
Figures
Espacenet CSV export -> Family row normalisation -> Transnational filter (EP / WO-PCT) -> Relevance scoring -> Family table export
Source: espacenet_csv · Retrieved: 2026-07-27 · Query: not filed
Findings
Visible data gap
No manual Espacenet CSV rows were present under data/raw/espacenet/.
Analytical interpretation
Finding
n = 0 patent families in the processed module. The transnational filter (is_transnational = has_EP_member OR has_WO_member) is implemented in code and tested, but has no families to filter. Total hits and transnational subset are both zero.
Interpretation
The empty result is a database-access limitation, not a finding that no transnational patents exist in this technology space. Without Derwent WPI family titles/abstracts and without PATSTAT tables (tls201, tls206, tls207, tls228), keyword search on original titles remains the only path once imports arrive — and will be terminology-noisy, which is why CPC boosts are planned.
Uncertainty
Any applicant ranking, CPC co-classification map, or publication–patent lag versus Module 5 would be invented if stated now. Confidence none.
Follow-up questions
- Export Espacenet result CSVs for
pat-ext-01/pat-core-01intodata/raw/espacenet/. - Optionally configure
EPO_OPS_KEYfor live OPS enrichment. - Re-run and report both total families and the transnational subset side by side on the site.
Methods / limits
- Source
- espacenet_csv
- Retrieved
- 2026-07-27T14:51:50.008367Z
- Query
- not filed
- Confidence
- none
- Records
- 0
- Notes
- No manual Espacenet CSV rows were present under data/raw/espacenet/.
- Wpi
- Derwent WPI is not available in this environment; enhanced titles, abstracts, and DWPI family consolidation are not used.
- Patstat
- PATSTAT is not available in this environment; applicant disambiguation, legal status, and full family/member coverage remain incomplete.
- Data gap
- No manual Espacenet CSV rows were present under data/raw/espacenet/.
- Expected inputs
- data/raw/espacenet/*.csv
- Notes
- Derwent WPI is not available in this environment; enhanced titles, abstracts, and DWPI family consolidation are not used. PATSTAT is not available in this environment; applicant disambiguation, legal status, and full family/member coverage remain incomplete.
Sources
espacenet_csv
No manual Espacenet CSV rows were present under data/raw/espacenet/.
Retrieved: 2026-07-27
Query: not filed
License: not filed
07
Confidence low
As of 2026-07-27
Meta Market Analysis
Abstract
No sourced market-size dataset is available in the repository. The module therefore records only a qualitative structure and confidence levels.
Key figures
Market size
withheld
No named public source for a defensible market-size figure is present.
Qualitative segments
4
Adjacent categories only
Figures
Registry & vendor scan -> Price / procurement matching -> Gap flagging -> Qualitative structure export
Source: analyst_structure · Retrieved: 2026-07-27 · Query: not filed
Findings
Quantitative market size
No named public source for a defensible market-size figure is present.
Thin-data expectation
The specific niche of time-resolved RNA-peptide binding kinetics on high-density arrays is expected to have sparse public market data; absence of figures is treated as a data limitation, not as zero market activity.
Qualitative market structure
| Segment | Relevance | Confidence |
|---|---|---|
| High-content and fluorescence imaging instrumentation | adjacent hardware category for widefield readout components | low |
| Microfluidic assay hardware and consumables | adjacent chamber, pump, valve, and chip supply category | low |
| Peptide-array synthesis and screening services | upstream substrate and assay-service category | low |
| Biophysical interaction-analysis instruments | functional comparator category; not evidence of direct substitution | low |
Analytical interpretation
Finding
The module records a qualitative actor typology (instrument manufacturers, array suppliers, service CROs, academic platforms), notes adjacency to SPR/BLI instruments, peptide-array services and RNA therapeutics, and explicitly withholds market-size figures because no source with a named method was available. Thin public data is treated as the expected state.
Interpretation
For an early instrumentation niche, the absence of credible published market sizes is itself informative: secondary databases have not yet productised this exact platform class. Scenario thinking (conservative / base / accelerated) should therefore track leading indicators — peer-reviewed kinetic-array papers, transnational patent filings, and vendor list prices — rather than point forecasts.
Uncertainty
Confidence low: single analyst synthesis, no triangulating commercial datasets. Adjacent SPR/BLI market reports must not be silently re-labelled as this platform’s TAM.
Follow-up questions
- Collect vendor list prices only when publicly posted; otherwise keep “not publicly available”.
- Link RNA-therapeutics funding intensity from OpenAlex funders once Module funders_world is populated.
- Define leading indicators with thresholds before any scenario quantification.
Methods / limits
- Source
- analyst_structure
- Retrieved
- 2026-07-27T14:51:50.077902Z
- Query
- not filed
- Confidence
- low
- Records
- 0
- Notes
- Qualitative frame only; no quantitative market figures generated.
- Data gap
- No sourced market-size figures, price books, procurement datasets, or vendor revenue splits are present in raw data.
- Impact
- Quantitative TAM/SAM/SOM and growth-rate claims are not reported.
Sources
analyst_structure
Qualitative frame only; no quantitative market figures generated.
Retrieved: 2026-07-27
Query: not filed
License: not filed
08
Confidence medium
As of 2026-07-27
Production Capacity
Abstract
Processed dataset is available; quantitative statements below are drawn from dataset.json.
Key figures
Cycle time
45 min
Model input
Frames per cycle
120
Model input
Sensor scale
60 MP
Model input
Data per cycle
14.4 GB
Decimal gigabytes
Figures
Cost-model settings load -> Bill-of-materials assembly -> Data-volume formula (MP x bit depth x frames) -> Cycle-time sensitivity sweep
Source: config · Retrieved: 2026-07-27 · Query: not filed
Findings
Data formula
megapixels * (bit_depth / 8) * frames_per_cycle
Capacity note
Cycle-time sensitivity is a throughput arithmetic model, not a validated production claim. Public list prices are not assumed; procurement quotes would be needed for EUR cost ranges.
Bill of materials
| Item | Role | Public price | Confidence |
|---|---|---|---|
| Cooled large-format CMOS/sCMOS camera | full-field fluorescence image capture | not publicly available | low |
| Excitation source and homogenisation optics | uniform illumination over the array | not publicly available | low |
| Filters, relay optics, and mechanical alignment hardware | spectral separation and stable imaging geometry | not publicly available | low |
| Microfluidic chamber, pump, valves, tubing | controlled association/dissociation fluid exchange | not publicly available | low |
| Control and analysis workstation/storage | instrument orchestration and image-series handling | not publicly available | low |
Cycle-time sensitivity
| Cycle time | Cycles / day | GB / working day |
|---|---|---|
| 15.0 min | 32.0 | 460.8 |
| 30.0 min | 16.0 | 230.4 |
| 45.0 min | 10.667 | 153.6 |
| 60.0 min | 8.0 | 115.2 |
| 90.0 min | 5.333 | 76.8 |
| 120.0 min | 4.0 | 57.6 |
Analytical interpretation
Finding
Using config/settings.yaml cost_model parameters (60 MP, 16-bit, 120 frames/cycle):
- Bytes per frame = 60 × 10^6 × (16/8) = 1.2 × 10^8 bytes - Bytes per cycle = 1.2 × 10^8 × 120 = 1.44 × 10^10 bytes ≈ 14 400 MB (decimal) per measurement cycle
Cycle time defaults to 45 minutes → theoretical runs/day at 8 h ≈ 10.6 if continuous. Bill-of-materials lines list camera, optics, illumination, OD6 filters, stage, pumps/valves, chamber fabrication, compute/storage with price status not publicly available where no verified public list price was on hand. Sensitivity sweeps cycle_time_minutes as the dominant throughput driver.
Interpretation
Data volume becomes a first-class bottleneck before reagent cost: tens of gigabytes per kinetic run imply storage and pipeline throughput requirements that must be budgeted alongside optics. Capex opacity (cooled 60 MP cameras, OD6 filter sets) is real; refusing invented EUR figures preserves auditability.
Uncertainty
Confidence medium for the byte-volume arithmetic (deterministic from stated parameters) and low for supply-chain concentration claims without supplier interviews. Staff-time and consumable costs remain unparameterised pending lab logs.
Follow-up questions
- Replace “not publicly available” lines only with dated public quotes or invoices.
- Measure actual frames retained after triggered illumination (may be ≪ 120).
- Map sole-source components (sensor, specialty filters) with lead-time ranges from RFQs.
Methods / limits
- Source
- config
- Retrieved
- 2026-07-27T14:51:50.078431Z
- Query
- not filed
- Confidence
- medium
- Records
- 1
- Notes
- Uses config/settings.yaml cost_model and explicit no-public-price assumptions.
- Data gap
- No verified public list prices for the configured instrument BOM.
- Impact
- Cost outputs are structural only and omit EUR totals.
Sources
config
Uses config/settings.yaml cost_model and explicit no-public-price assumptions.
Retrieved: 2026-07-27
Query: not filed
License: not filed
Methods & Data Sources
Processed-data boundary
This static report is rendered from data/processed/**/dataset.json,
data/processed/actors.json, and filed assessment text when present.
Quantitative gaps are rendered as gaps; missing public prices, missing patent rows,
and missing funding-network imports are not imputed.
Vocabulary
Glossary
Open 40 terms in plain language
- Autofocus
- Software that drives the Z-stage and scores image sharpness to hold focus. Holds the focal plane steady against hours of thermal drift.
- Binding curve
- Intensity versus time for a spot during association/dissociation. A heart-rate trace during exercise and recovery.
- BLI
- Bio-layer interferometry label-free binding method. Reading thickness changes as shifting interference colours.
- Damköhler number (Da)
- Ratio of reaction rate to mass-transport rate. Whether diners eat faster than waiters can refill plates.
- Dead volume
- Fluid in tubing/valves that must be displaced before a switch takes effect. Determines how sharp the start of the dissociation phase looks.
- Depletion zone
- Thin layer right above the surface that binding has drawn analyte out of. The reason mass-transport limitation happens at all.
- Excitation / emission filter
- Colour filters that pass only the intended wavelength. One-way glass that only lets a single colour through.
- Fiducial marker
- Known reference feature for alignment. Survey nails that keep maps registered.
- Field of view (FOV)
- The area a camera captures in a single exposure. A matchbox-sized area, captured in one shot.
- Flat-field correction
- Normalising illumination non-uniformity across the image. Equalising a photo taken under a lampshade.
- Fluorescence
- A dye absorbs light of one colour (excitation) and re-emits light of another, lower-energy colour (emission). A glow-in-the-dark sticker charged by a flash.
- Fly-eye homogeniser
- Microlens array that turns a bright spot into an even, flat-top field. A showerhead, but for light.
- HT-MEK / k-STAMMP
- Stanford platforms measuring thousands of enzyme / transcription-factor reactions in parallel. The closest conceptual relatives of this project.
- K_D
- Equilibrium dissociation constant (k_off / k_on). Where the equilibrium sits, not how fast it is reached.
- k_off
- Dissociation rate constant. How long the pair stays together before separating.
- k_on
- Association rate constant. How quickly two dance partners find each other.
- Kinetics vs. equilibrium
- Time course of binding versus the final balance. The whole film versus the final photograph.
- Laminar flow
- Ordered, vortex-free flow typical at microfluidic scale. Predictable, but mixing needs patience or clever channel geometry.
- Mass-transport limitation
- When delivery of molecules is slower than the binding reaction itself. The cashier isn't slow — customers just aren't arriving fast enough.
- Micro-Manager / pymmcore-plus
- Open instrument-control stack for microscopy hardware. A conductor score that every instrument in the orchestra reads.
- Microfluidic chamber / flow cell
- Thin flow channel delivering analyte to the array. A shallow river flowing over a pebbled riverbed.
- Microfluidics
- Fluid handling in micrometre-scale channels. Plumbing thin enough that flow is always orderly, not turbulent.
- Nonspecific binding / background
- RNA sticking everywhere or drifting free and glowing along with it. Crowd noise that has to be subtracted to hear the conversation.
- Numerical aperture (NA)
- Measure of how much light an objective collects. High NA: bright and sharp, but a small field of view.
- Nyquist sampling
- Rule of thumb: at least 2–2.3 pixels per smallest feature. A song sampled too coarsely becomes unrecognisable.
- OD6 filter
- Optical density 6 blocking (~10^−6 transmission). Curtains thick enough to keep a stadium light out.
- Peptide
- Short chain of amino acids — a mini-protein. The 'bait' sitting on the glass slide.
- Peptide array
- Grid of immobilised peptide spots on a solid support. A chessboard where each square is a different bait.
- Photobleaching
- Irreversible loss of fluorophore signal under light. A poster fading in the sun.
- Positioning / XYZ stage
- Motorised sample stage with sub-micrometre steps. Enables autofocus, re-alignment, and moving between slides.
- Resolution
- Smallest distance still distinguishable as separate. Set here by pixel size, not by the objective.
- sCMOS / cooled CMOS
- Low-noise scientific camera sensors, often cooled. A quiet microphone that can hear faint whispers.
- Signal-to-noise ratio (SNR)
- Useful signal divided by background noise. Conversation volume relative to party noise.
- Spot registration
- Mapping image pixels to known peptide spot identities. Matching house numbers on a street after the photo is taken.
- SPOT synthesis
- Stepwise peptide synthesis directly on a membrane/array. Printing letters one by one onto fixed paper positions.
- SPR
- Surface plasmon resonance label-free binding method. Weighing a handshake by how it bends a light beam.
- Synchronisation / trigger
- Electrical start signal that locks light, camera and valves to one clock. Without exact timestamps, every rate constant is worthless.
- Tiling
- Stitching many single images into one larger image. Accurate but slow — why commercial microscopes fall short here.
- Vignetting
- Brightness fall-off toward image corners. Looking through a tube — edges go dark.
- Widefield imaging
- Illuminating and capturing a large field at once. Photographing a whole stadium from above, not seat by seat.
Actor profiles
Searchable actor index
Open 2754 actor profiles (loaded on demand)
Legal
Imprint & privacy
Legal notice, contact details, credits, and privacy information are published on the Legal page. Replace bracketed placeholders there with your personal details before public deployment.