2021 · paper
Expansion Sequencing: Spatially Precise In Situ Transcriptomics in Intact Biological Systems
Introduces expansion sequencing for spatially precise transcriptomic measurements in intact biological samples.[61]
Spatial genomics and in-situ sequencing
Shahar Alon
שחר אלון
Identity: verifiedBIU’s profile and the first-author publication identify Shahar Alon and match the roster. [60][61]
Documented foundation
Research & experience
Alon develops expansion-based in-situ sequencing and spatial-genomics methods for resolving molecular information within intact tissues.[60][61]
expansion sequencingspatial transcriptomicssuper-resolution microscopycomputational image analysis
CV and official profile
The BIU page contains an embedded CV; the page is linked instead of copying CV content.[60]
Open CVSelected work
Representative records, not a complete publication list. Metadata confirms attribution; it does not independently replicate a result.
Patent evidence
5 catalogued patent records · 4 identified families · family unassigned for 1 record
Coverage: Partial inventor search
Four additional family representatives, all linked to MIT-era work; Harvard also appears in relevant assignee metadata. The embedded CV independently reveals two inventions missing from the inventor index. Baseline expansion-sequencing application retained and corresponding grant variants omitted. Coverage is not exhaustive.
In situ ATAC sequencing
US11180804B2 · Published 2021-11-23
Published patent document inspected
Publication assignee: Massachusetts Institute of Technology; Harvard University
Named inventor Shahar Alon; MIT/Boyden career and patent list corroborated by the embedded CV; in-situ ATAC additionally matches Chen/Boyden co-inventors and domain. Assignee is the captured publication metadata, not a current-ownership determination.[229][247]
Multiplexed signal amplified FISH via splinted ligation amplification and sequencing
US10995361B2 · Published 2021-05-04
Published patent document inspected
Publication assignee: Massachusetts Institute of Technology
Named inventor Shahar Alon; MIT/Boyden career and patent list corroborated by the embedded CV; in-situ ATAC additionally matches Chen/Boyden co-inventors and domain. Assignee is the captured publication metadata, not a current-ownership determination.[229][248]
Augmenting in situ nucleic acid sequencing of expanded biological samples with in vitro sequence information
US10526649B2 · Published 2020-01-07
Published patent document inspected
Publication assignee: Massachusetts Institute of Technology; Harvard University
Named inventor Shahar Alon; MIT/Boyden career and patent list corroborated by the embedded CV; in-situ ATAC additionally matches Chen/Boyden co-inventors and domain. Assignee is the captured publication metadata, not a current-ownership determination.[229][291]
Nanoscale imaging of proteins and nucleic acids via expansion microscopy
US10364457B2 · Published 2019-07-30
Published patent document inspected
Publication assignee: Massachusetts Institute of Technology
Named inventor Shahar Alon; MIT/Boyden career and patent list corroborated by the embedded CV; in-situ ATAC additionally matches Chen/Boyden co-inventors and domain. Assignee is the captured publication metadata, not a current-ownership determination.[229][290]
In Situ Nucleic Acid Sequencing of Expanded Biological Samples
US20190055597A1
Original report record
Preserved from the original report; see its cited evidence and limitations.[62]
Original report snapshot
Original evidence: verified record
The patent record verifies inventor attribution; it does not establish present ownership or freedom to operate.[62]
Records are counted separately from identified families. Author-reported entries are labelled and may still need publication verification. Inventorship, publication-time applicant and current ownership are different facts. No legal-status, patentability or freedom-to-operate conclusion is made.
Scores prioritize research fit from 1–10; they are not probabilities.
Review: Reviewed with limitations
Proposed capability matches, not confirmed relationships. Scores are analyst judgments with low forecast confidence; researcher interests, capacity and feasibility need confirmation.
Internal connections
10 candidates
Connection 1
Jacob Goldberger
Proposal hypothesis: Alon's spatial sequencing images and Goldberger's medical-image uncertainty methods meet on detecting unreliable molecular image analysis.[60][61][75][76]
First test and score details
First test
Proposed first test: Apply controlled image degradation to an open spatial-transcriptomics image set and compare segmentation quality flags with a simple image-quality baseline.
Score components
- complementarity
- 3
- feasible first test
- 3
- topic overlap
- 4
Why this rank
Rank 1/10; fit 10/10 (4 topic overlap + 3 complementarity + 3 feasible first test). New pairing outside the frozen portfolio co-member graph. Molecular localization ground truth and platform-specific image artifacts need explicit definitions. Equal scores use existing-first, then stable researcher ID.
Conditions
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.
Connection 2
Orr Levy
Original proposal
Proposal hypothesis: Levy's network-failure hypotheses and Alon's spatial sequencing can connect molecular state with tissue neighbourhoods instead of averaging cells together.[5][6][60][61]
First test and score details
First test
Proposed first test: On an open spatial transcriptomics dataset, compare network-failure indicators before and after shuffling spatial coordinates while controlling cell composition.
Score components
- complementarity
- 3
- feasible first test
- 2
- topic overlap
- 4
Why this rank
Rank 2/10; fit 9/10 (4 topic overlap + 3 complementarity + 2 feasible first test). Preserved original co-membership proposal in o04. An added candidate, Jacob Goldberger (10/10), ranks above this original because its stated pair-specific roles and first test score higher; this original is limited as follows: Direct ageing-network and spatial-measurement complementarity is strong; causal ageing interpretation requires suitable longitudinal or perturbation evidence. No automatic score boost for original membership. Equal scores use existing-first, then stable researcher ID.
Conditions
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.
Connection 3
Tomer Kalisky
Original proposal
Proposal hypothesis: Alon's spatial transcriptomics and Kalisky's single-cell state analysis can distinguish true tissue-state structure from dissociation or spatial measurement artifacts.[60][61][70]
First test and score details
First test
Proposed first test: Compare cell-state assignments from matched public spatial and single-cell data, with coordinate-shuffle and expression-depth controls.
Score components
- complementarity
- 3
- feasible first test
- 2
- topic overlap
- 4
Why this rank
Rank 3/10; fit 9/10 (4 topic overlap + 3 complementarity + 2 feasible first test). Preserved original co-membership proposal in o04. An added candidate, Jacob Goldberger (10/10), ranks above this original because its stated pair-specific roles and first test score higher; this original is limited as follows: The strongest shared biological question still depends on an appropriate matched dataset and a tissue-specific interpretation protocol. No automatic score boost for original membership. Equal scores use existing-first, then stable researcher ID.
Conditions
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.
Show 7 moreShow fewer internal connections
Connection 4
Orit Shefi
Proposal hypothesis: Shefi's engineered neural geometry and Alon's spatial sequencing offer a way to test whether controlled organization changes local molecular state.[8][60][61]
First test and score details
First test
Proposed first test: Use an existing spatial neural dataset to freeze geometry-linked transcript endpoints for a later patterned-culture comparison.
Score components
- complementarity
- 3
- feasible first test
- 2
- topic overlap
- 4
Why this rank
Rank 4/10; fit 9/10 (4 topic overlap + 3 complementarity + 2 feasible first test). New pairing outside the frozen portfolio co-member graph. Expansion and culture compatibility must be tested before collecting new sequencing data. Equal scores use existing-first, then stable researcher ID.
Conditions
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.
Connection 5
Ethan Fetaya
Proposal hypothesis: Alon can define spatial/genomic measurement invariants and Fetaya can test whether geometric learning respects them under perturbation.[60][61][73]
First test and score details
First test
Proposed first test: Compare a geometric model with a non-spatial baseline under coordinate jitter and expression dropout in a public spatial dataset.
Score components
- complementarity
- 3
- feasible first test
- 3
- topic overlap
- 3
Why this rank
Rank 5/10; fit 9/10 (3 topic overlap + 3 complementarity + 3 feasible first test). New pairing outside the frozen portfolio co-member graph. Biological validity is not guaranteed by geometric invariance. Equal scores use existing-first, then stable researcher ID.
Conditions
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.
Connection 6
Leonid Yavits
Proposal hypothesis: Alon's image-heavy in-situ sequencing could expose a memory-intensive kernel for Yavits's architecture research.[60][61][104][105]
First test and score details
First test
Proposed first test: Profile one open spot-matching or image-registration workload and compare an accelerated model with a CPU baseline on alignment error and memory traffic.
Score components
- complementarity
- 3
- feasible first test
- 3
- topic overlap
- 3
Why this rank
Rank 6/10; fit 9/10 (3 topic overlap + 3 complementarity + 3 feasible first test). New pairing outside the frozen portfolio co-member graph. Genomics accelerator expertise does not establish that this imaging kernel maps efficiently. Equal scores use existing-first, then stable researcher ID.
Conditions
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.
Connection 7
Zeev Zalevsky
Proposal hypothesis: Alon's expansion sequencing and Zalevsky's super-resolution methods can test optical resolution against spatial molecular registration accuracy.[60][61][116][117][138]
First test and score details
First test
Proposed first test: Use an open image stack or known-point phantom to compare localization error before and after a reconstruction step.
Score components
- complementarity
- 3
- feasible first test
- 2
- topic overlap
- 4
Why this rank
Rank 7/10; fit 9/10 (4 topic overlap + 3 complementarity + 2 feasible first test). New pairing outside the frozen portfolio co-member graph. Apparent resolution gains may create false spots; sequencing identity and registration controls are required. Equal scores use existing-first, then stable researcher ID.
Conditions
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.
Connection 8
Yoli Shavit
Original proposal
Proposal hypothesis: Alon can specify spatial measurement artifacts and Shavit can test multimodal representation and uncertainty under those perturbations.[60][61][127][128]
First test and score details
First test
Proposed first test: On an open spatial-expression/image dataset, hold out one section and sweep registration noise; compare calibration to expression-only inference.
Score components
- complementarity
- 3
- feasible first test
- 2
- topic overlap
- 3
Why this rank
Rank 8/10; fit 8/10 (3 topic overlap + 3 complementarity + 2 feasible first test). Preserved original co-membership proposal in o04. An added candidate, Jacob Goldberger (10/10), ranks above this original because its stated pair-specific roles and first test score higher; this original is limited as follows: Spatial alignment and biological expertise belong to Alon; Shavit's announced programme supports a modelling proposal, not proven tissue expertise. No automatic score boost for original membership. Equal scores use existing-first, then stable researcher ID.
Conditions
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work. Yoli Shavit biological/multimodal programme evidence is a 2025 announcement; current laboratory operation and biological experimental capability are not established.
Connection 9
Rachela Popovtzer
Proposal hypothesis: Popovtzer's imaging probes and Alon's spatial transcriptomics could examine whether probe localization corresponds to molecular tissue state.[53][54][60][61]
First test and score details
First test
Proposed first test: Compare a candidate imaging marker with a public spatial-expression atlas, then define a co-registration control for a future matched specimen.
Score components
- complementarity
- 3
- feasible first test
- 2
- topic overlap
- 3
Why this rank
Rank 9/10; fit 8/10 (3 topic overlap + 3 complementarity + 2 feasible first test). New pairing outside the frozen portfolio co-member graph. Expression is only a proxy for probe binding; no matched specimen access is confirmed. Equal scores use existing-first, then stable researcher ID.
Conditions
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.
Connection 10
Yaara Erez
Proposal hypothesis: Erez's neural-network hypotheses and Alon's spatial molecular maps could ask whether regional molecular organization constrains a functional network model.[28][29][60][61]
First test and score details
First test
Proposed first test: Use compatible public brain atlases to compare spatial-expression features with a distance-only null when explaining network structure.
Score components
- complementarity
- 3
- feasible first test
- 2
- topic overlap
- 2
Why this rank
Rank 10/10; fit 7/10 (2 topic overlap + 3 complementarity + 2 feasible first test). New pairing outside the frozen portfolio co-member graph. Atlas alignment and scale mismatch prevent causal or person-level conclusions. Equal scores use existing-first, then stable researcher ID.
Conditions
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.
External connections
10 candidates
Connection 1
Rahul Satija
New York Genome Center and New York University
Proposed capability match: Shahar Alon's expansion sequencing, spatial transcriptomics can be paired with Rahul Satija's documented single-cell genomics, multimodal integration for spatial perturbation atlas for tissue repair. The specific contribution is single-cell multimodal integration; this transfer is an analyst hypothesis.[60][61][492]
First test and score details
First test
Compare modality-specific and integrated embeddings with donor-held-out cell-type annotations using a public spatial transcriptomics image/count dataset with controlled registration and resolution perturbations. Compare label transfer, batch sensitivity and rare-state recovery with the original mapping pipeline with identical transcript counts.
Score components
- complementarity
- 3
- feasible first test
- 3
- topic overlap
- 4
Why this rank
Rank 1/10 after semantic revision; analyst score 10 = max(1, 4+3+3): topic overlap 4/4, complementarity 3/3, feasible first test 3/3. A bounded offline comparison is specified; required datasets and domain assumptions must still be checked.
Conditions
Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified.
Connection 2
Fei Chen
Broad Institute of MIT and Harvard
Original proposal
Chen’s spatial-genomics and microscopy methods could complement assay scaling and orthogonal validation; no current collaboration or willingness is asserted.[60][61][63][447]
First test and score details
First test
Profile one organoid injury model at three time points with a targeted transcript panel and prespecified spatial reproducibility metrics.
Score components
- complementarity
- 3
- feasible first test
- 2
- topic overlap
- 4
Why this rank
Rank 2/10 after semantic revision; analyst score 9 = max(1, 4+3+2): topic overlap 4/4, complementarity 3/3, feasible first test 2/3. The experiment, numerical inputs or identity/scope needs confirmation before execution. An offline integration comparison can start with public data before a new experimental atlas or sequencing protocol; the experimental original remains a close scientific match. Original retained exactly at rank 2; preceding alternatives are Rahul Satija (10; 4+3+3). The preserved scientific explanation above describes the narrower contribution; current ordering follows these displayed component totals, not comparative researcher quality.
Conditions
Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified.
Connection 3
Ed Boyden
Massachusetts Institute of Technology
Proposed capability match: Shahar Alon's expansion sequencing, spatial transcriptomics can be paired with Ed Boyden's documented optogenetics, expansion microscopy for spatial perturbation atlas for tissue repair. The specific contribution is optical perturbation and high-resolution cellular readout; this transfer is an analyst hypothesis.[60][61][440]
First test and score details
First test
Design a small optical-label/perturbation comparison with an independent imaging reference using a public spatial transcriptomics image/count dataset with controlled registration and resolution perturbations. Compare cellular registration error, multiplexing crosstalk and measurement perturbation with the original mapping pipeline with identical transcript counts.
Score components
- complementarity
- 3
- feasible first test
- 2
- topic overlap
- 4
Why this rank
Rank 3/10 after semantic revision; analyst score 9 = max(1, 4+3+2): topic overlap 4/4, complementarity 3/3, feasible first test 2/3. The experiment, numerical inputs or identity/scope needs confirmation before execution.
Conditions
Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified.
Show 7 moreShow fewer external connections
Connection 4
Karthik Shekhar
University of California, Berkeley
Proposed capability match: Shahar Alon's expansion sequencing, spatial transcriptomics can be paired with Karthik Shekhar's documented computational biology and genomics, neuroscience for spatial perturbation atlas for tissue repair. The specific contribution is genomic and neural population modelling; this transfer is an analyst hypothesis.[60][61][436]
First test and score details
First test
Compare cell-population representations using donor-held-out rather than random-cell splits using a public spatial transcriptomics image/count dataset with controlled registration and resolution perturbations. Compare population stability and held-out prediction error with the original mapping pipeline with identical transcript counts.
Score components
- complementarity
- 3
- feasible first test
- 3
- topic overlap
- 3
Why this rank
Rank 4/10 after semantic revision; analyst score 9 = max(1, 3+3+3): topic overlap 3/4, complementarity 3/3, feasible first test 3/3. A bounded offline comparison is specified; required datasets and domain assumptions must still be checked.
Conditions
Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified.
Connection 5
Sarah Teichmann
University of Cambridge
Proposed capability match: Shahar Alon's expansion sequencing, spatial transcriptomics can be paired with Sarah Teichmann's documented human cell atlases, cellular diversity for spatial perturbation atlas for tissue repair. The specific contribution is cell-atlas reference and tissue heterogeneity; this transfer is an analyst hypothesis.[60][61][72][495]
First test and score details
First test
Map cell states to an independent tissue reference with donor and tissue held out using a public spatial transcriptomics image/count dataset with controlled registration and resolution perturbations. Compare annotation agreement and rare-cell recovery with the original mapping pipeline with identical transcript counts.
Score components
- complementarity
- 3
- feasible first test
- 2
- topic overlap
- 4
Why this rank
Rank 5/10 after semantic revision; analyst score 9 = max(1, 4+3+2): topic overlap 4/4, complementarity 3/3, feasible first test 2/3. The experiment, numerical inputs or identity/scope needs confirmation before execution.
Conditions
Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified.
Connection 6
Michael Bronstein
University of Oxford
Proposed capability match: Shahar Alon's expansion sequencing, spatial transcriptomics can be paired with Michael Bronstein's documented geometric deep learning, graph neural networks for spatial perturbation atlas for tissue repair. The specific contribution is geometric structure and graph representations; this transfer is an analyst hypothesis.[60][61][74][442]
First test and score details
First test
Compare a geometry/graph-aware model with a parameter-matched unstructured baseline under structural perturbations using a public spatial transcriptomics image/count dataset with controlled registration and resolution perturbations. Compare held-out error, symmetry consistency and robustness to altered graph topology with the original mapping pipeline with identical transcript counts.
Score components
- complementarity
- 3
- feasible first test
- 3
- topic overlap
- 2
Why this rank
Rank 6/10 after semantic revision; analyst score 8 = max(1, 2+3+3): topic overlap 2/4, complementarity 3/3, feasible first test 3/3. A bounded offline comparison is specified; required datasets and domain assumptions must still be checked.
Conditions
Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified. The refreshed Oxford profile also lists an Aithyra scientific-director role; the original Oxford institution string is preserved.
Connection 7
Lior S. Pachter
California Institute of Technology
Proposed capability match for Shahar Alon with Lior S. Pachter: Quantification can influence spatial mapping only when a compatible read/barcode interface is established; the downstream mapper must be held fixed.[60][61][483]
First test and score details
First test
Audit for raw reads with spatial barcodes and a common transcript reference; if absent, simulate reads from a small known spatial count matrix. Run two quantifiers on identical reads, then the identical mapping pipeline on each output. Report count error, mapping error against synthetic truth and runtime; images/counts alone are not raw sequencing reads.
Score components
- complementarity
- 3
- feasible first test
- 2
- topic overlap
- 3
Why this rank
Rank 7/10 after semantic revision; analyst score 8 = max(1, 3+3+2): topic overlap 3/4, complementarity 3/3, feasible first test 2/3. Quantification can influence spatial mapping only when a compatible read/barcode interface is established; the downstream mapper must be held fixed. A bounded offline comparison is specified; required datasets and domain assumptions must still be checked.
Conditions
Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified. Post-review scope: Quantification can influence spatial mapping only when a compatible read/barcode interface is established; the downstream mapper must be held fixed. This revised proposal awaits independent targeted re-review; simulated outcomes would establish model behavior only, not biological, clinical or deployed benefit.
Connection 8
Caroline Uhler
Massachusetts Institute of Technology
Proposed capability match for Shahar Alon with Caroline Uhler: Causal inference offers a spatial-signalling hypothesis test, bounded initially to simulated intervention truth rather than an unsupported causal interpretation of archived images.[60][61][129][497]
First test and score details
First test
Construct a synthetic spatial causal model with cell states, coordinates and a named signalling intervention whose downstream counts are generated explicitly. Fit predictive and causal models to identical observational samples, then evaluate both against held-out simulated interventions using count-response error. Vary unobserved confounding; archival spatial association is not intervention truth.
Score components
- complementarity
- 3
- feasible first test
- 2
- topic overlap
- 3
Why this rank
Rank 8/10 after semantic revision; analyst score 8 = max(1, 3+3+2): topic overlap 3/4, complementarity 3/3, feasible first test 2/3. Causal inference offers a spatial-signalling hypothesis test, bounded initially to simulated intervention truth rather than an unsupported causal interpretation of archived images. A bounded offline comparison is specified; required datasets and domain assumptions must still be checked.
Conditions
Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified. Post-review scope: Causal inference offers a spatial-signalling hypothesis test, bounded initially to simulated intervention truth rather than an unsupported causal interpretation of archived images. This revised proposal awaits independent targeted re-review; simulated outcomes would establish model behavior only, not biological, clinical or deployed benefit.
Connection 9
Vadim Gladyshev
Harvard Medical School and Brigham and Women's Hospital
Proposed capability match: Shahar Alon's expansion sequencing, spatial transcriptomics can be paired with Vadim Gladyshev's documented aging signatures, single-cell aging clocks for spatial perturbation atlas for tissue repair. The specific contribution is aging-specific biological endpoints; this transfer is an analyst hypothesis.[7][60][61][455]
First test and score details
First test
Compare a cell-state stress predictor with an age-signature baseline after holding out donor and age strata using a public spatial transcriptomics image/count dataset with controlled registration and resolution perturbations. Compare age-confounding sensitivity and held-out association with the predeclared endpoint with the original mapping pipeline with identical transcript counts.
Score components
- complementarity
- 3
- feasible first test
- 2
- topic overlap
- 2
Why this rank
Rank 9/10 after semantic revision; analyst score 7 = max(1, 2+3+2): topic overlap 2/4, complementarity 3/3, feasible first test 2/3. The experiment, numerical inputs or identity/scope needs confirmation before execution.
Conditions
Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified.
Connection 10
Stephen Quake
Stanford University
Proposed capability match for Shahar Alon with Stephen Quake: Measurement-process expertise can inform a computational spatial-capture bias study; no physical manipulation of archived counts or measured capture efficiency is claimed.[60][61][487]
First test and score details
First test
Model capture/dropout, ambient RNA and spatial mixing applied computationally to a known synthetic spatial transcript matrix. Run the same mapping algorithm on ideal and degraded counts at matched cell numbers; measure transcript-location error and neighborhood recovery. Physical dilution is excluded from archived data and would need new samples and protocols.
Score components
- complementarity
- 3
- feasible first test
- 2
- topic overlap
- 2
Why this rank
Rank 10/10 after semantic revision; analyst score 7 = max(1, 2+3+2): topic overlap 2/4, complementarity 3/3, feasible first test 2/3. Measurement-process expertise can inform a computational spatial-capture bias study; no physical manipulation of archived counts or measured capture efficiency is claimed. The experiment, numerical inputs or identity/scope needs confirmation before execution.
Conditions
Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified. Post-review scope: Measurement-process expertise can inform a computational spatial-capture bias study; no physical manipulation of archived counts or measured capture efficiency is claimed. This revised proposal awaits independent targeted re-review; simulated outcomes would establish model behavior only, not biological, clinical or deployed benefit.
Evidence & open questions
- The embedded CV appears dated 2020 and may not reflect later roles or outputs.
Inspect claim ratings and independent review
Shahar Alon has source-grounded capabilities in spatial genomics and in-situ sequencing, represented here by expansion sequencing, spatial transcriptomics, super-resolution microscopy. [60][61]
High confidenceReview: reviewedThe sources establish public professional activity, not comparative quality, future performance, or willingness to participate.
Review record
- profiles_a: supports. The BIU page identifies Alon's spatial-genomics and expansion-based in-situ sequencing work, and the primary article documents expansion sequencing in intact biological systems. Super-resolution is supported in the expansion-microscopy context rather than as a separate general capability.
Hypothesis for 2027–2031: Shahar Alon could explore spatial perturbation atlas for tissue repair through the bounded first test described in this profile. [60][61][63]
Low confidenceReview: reviewedAssay throughput, tissue distortion, and causal interpretation remain to be validated.
Review record
- profiles_a: supports. The bounded proposal combines source-confirmed expansion sequencing with Chen's official spatial-genomics and microscopy program. Longitudinal causal interpretation remains an open requirement.