2021 · paper
Superconducting nanowire single-photon sensing of cerebral blood flow
The lab publication record documents superconducting-nanowire single-photon sensing applied to cerebral blood-flow measurement.[42]
optical-acoustical neuroimaging
ניסן אוזנה
Identity: verifiedThe Bar-Ilan CRIS and lab pages identify Nisan Ozana; the inspected patent expands the inventor name to Nisim Nisan Ozana and matches the technical field. [41]
Documented foundation
Bar-Ilan neurophotonics researcher developing optical and acoustical instrumentation for non-invasive brain monitoring, including cerebral blood-flow and single-photon sensing methods.[41]
diffuse optical sensingcerebral blood-flow measurementsingle-photon detectionneuroacoustic instrumentation
Institutional CRIS and laboratory pages were inspected; no downloadable current CV was verified.[41]
Representative records, not a complete publication list. Metadata confirms attribution; it does not independently replicate a result.
2021 · paper
The lab publication record documents superconducting-nanowire single-photon sensing applied to cerebral blood-flow measurement.[42]
7 catalogued patent records · 6 identified families · family unassigned for 1 record
Coverage: Partial inventor search
Six additional representative groups cover five ContinUse Biometrics inventions and the Bar-Ilan/Universitat de Valencia monitoring continuation chain. US9636041B2 is an inspected parent of US10398314B2 and intentionally grouped, with both inventor lists retaining Nisim Nisan Ozana. Related earlier US9668672B2 does not list Ozana and is excluded. Original remote-monitoring US20210063563A1 remains; search-located grant US11977148B2 omitted. Harvard/MGH-era short-name queries did not produce a new inspected patent; they are not an audited absence result.
US11737677B2 · Published 2023-08-29
Published patent document inspected
Publication assignee: ContinUse Biometrics Ltd
Exact fuller inventor form Nisim Nisan Ozana is the identity already established in the original report's remote-monitoring patent; repeated co-inventor Zeev Zalevsky and optical sensing subject align. This record's inventor list was inspected separately.[177]
US11406294B2 · Published 2022-08-09
Published patent document inspected
Publication assignee: ContinUse Biometrics Ltd
Exact fuller inventor form Nisim Nisan Ozana is the identity already established in the original report's remote-monitoring patent; repeated co-inventor Zeev Zalevsky and optical sensing subject align. This record's inventor list was inspected separately.[174]
US10856739B2 · Published 2020-12-08
Published patent document inspected
Publication assignee: ContinUse Biometrics Ltd
Exact fuller inventor form Nisim Nisan Ozana is the identity already established in the original report's remote-monitoring patent; repeated co-inventor Zeev Zalevsky and optical sensing subject align. This record's inventor list was inspected separately.[168]
US10724846B2 · Published 2020-07-28
Published patent document inspected
Publication assignee: ContinUse Biometrics Ltd
Exact fuller inventor form Nisim Nisan Ozana is the identity already established in the original report's remote-monitoring patent; repeated co-inventor Zeev Zalevsky and optical sensing subject align. This record's inventor list was inspected separately.[165]
US10595755B2 · Published 2020-03-24
Published patent document inspected
Publication assignee: ContinUse Biometrics Ltd
Exact fuller inventor form Nisim Nisan Ozana is the identity already established in the original report's remote-monitoring patent; repeated co-inventor Zeev Zalevsky and optical sensing subject align. This record's inventor list was inspected separately.[164]
US10398314B2 · Published 2019-09-03
Published patent document inspected
Publication assignee: Universitat de Valencia; Bar Ilan University
Exact fuller inventor form Nisim Nisan Ozana is the identity already established in the original report's remote-monitoring patent; repeated co-inventor Zeev Zalevsky and optical sensing subject align. This record's inventor list was inspected separately. Related Parent Applications explicitly identifies US9636041B2 as the continuation parent; both documents name Ozana. Parent is grouped and not counted separately; related US9668672B2 lacks Ozana.[162][206]
US20210063563A1
Original report record
Preserved from the original report; see its cited evidence and limitations.[43]
Original evidence: verified record
One attributable US publication was inspected under the fuller inventor spelling Nisim Nisan Ozana; this is not a legal-ownership assessment.[43]
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.
10 candidates
Connection 1
Proposal hypothesis: Ozana's diffuse optical sensing gives Amir Weiss a concrete estimation/compression task where photon statistics constrain signal quality.[41][42][108][109]
Proposed first test: Compare full photon-arrival traces with compressed summaries on simulated flow-estimation error across count rates.
Rank 1/10; fit 10/10 (4 topic overlap + 3 complementarity + 3 feasible first test). New pairing outside the frozen portfolio co-member graph. The simulation must use an explicit optical forward model before physiology is inferred. Equal scores use existing-first, then stable researcher ID.
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.
Connection 2
Original proposal
Proposal hypothesis: Ozana's diffuse optical measurements have signal-quality and domain-shift questions suited to Goldberger's uncertainty and image-analysis methods.[41][42][75][76]
Proposed first test: Perturb a public or simulated optical perfusion dataset with motion and photon-count variation; compare error flagging at a fixed false-alarm rate.
Rank 2/10; fit 9/10 (3 topic overlap + 3 complementarity + 3 feasible first test). Preserved original co-membership proposal in o05. An added candidate, Amir Weiss (10/10), ranks above this original because its stated pair-specific roles and first test score higher; this original is limited as follows: A physiologically meaningful reference is needed before interpreting calibrated signal estimates as clinical performance. No automatic score boost for original membership. Equal scores use existing-first, then stable researcher ID.
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work. Original initiative conditions remain: o05 Nisan Ozana: Conditional role: assess readout feasibility only if a defined optical/acoustic observable maps to the target functional signal in the chosen culture model. o05 Jacob Goldberger: Conditional later role: evaluate uncertainty after a reference dataset and transparent signal-analysis baseline exist.
Connection 3
Proposal hypothesis: Ozana's diffuse brain monitoring and Zalevsky's biomedical and fiber sensing offer complementary routes to identify motion-sensitive optical artifacts.[41][42][116][117][138]
Proposed first test: Compare two optical readout models on a tissue phantom with controlled motion; measure perfusion-estimate bias and repeatability.
Rank 3/10; fit 9/10 (4 topic overlap + 3 complementarity + 2 feasible first test). New pairing outside the frozen portfolio co-member graph. Phantom performance does not establish human monitoring or clinical utility. Equal scores use existing-first, then stable researcher ID.
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.
Connection 4
Original proposal
Proposal hypothesis: Erez's human brain-network questions complement Ozana's optical-acoustic brain monitoring when a hemodynamic measurement is explicitly separated from neural activity.[28][29][41][42]
Proposed first test: Use an open or simulated concurrent neural/hemodynamic time series to compare lag-aware coupling with shuffled controls before any participant study.
Rank 4/10; fit 8/10 (3 topic overlap + 3 complementarity + 2 feasible first test). Preserved original co-membership proposal in o05. An added candidate, Amir Weiss (10/10), ranks above this original because its stated pair-specific roles and first test score higher; this original is limited as follows: Shared brain monitoring supports topic fit, but modality alignment and separate human-study approval limit immediate feasibility. No automatic score boost for original membership. Equal scores use existing-first, then stable researcher ID.
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work. Original initiative conditions remain: o05 Nisan Ozana: Conditional role: assess readout feasibility only if a defined optical/acoustic observable maps to the target functional signal in the chosen culture model.
Connection 5
Proposal hypothesis: Ozana's single-photon optical instrumentation and Danielli's background-suppression assays meet on detection under low count rates.[41][42][45][46][47]
Proposed first test: Simulate a weak fluorescence time series with known background and compare photon-counting and analog readout on recovery and false positives.
Rank 5/10; fit 8/10 (3 topic overlap + 3 complementarity + 2 feasible first test). New pairing outside the frozen portfolio co-member graph. Detector choice must match assay timescales and fluorescence background. Equal scores use existing-first, then stable researcher ID.
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.
Connection 6
Proposal hypothesis: Fridman's temporal optical tools could help Ozana distinguish instrument timing effects from photon-arrival signatures in diffuse sensing.[34][41][42]
Proposed first test: Apply a bounded temporal response model to simulated photon-arrival data and compare perfusion-estimation bias with ordinary time binning.
Rank 6/10; fit 7/10 (2 topic overlap + 3 complementarity + 2 feasible first test). New pairing outside the frozen portfolio co-member graph. Fast optical processing is useful only if timing is the dominant measurement limit. Equal scores use existing-first, then stable researcher ID.
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.
Connection 7
Proposal hypothesis: Blau can define frequency-mode manipulation while Ozana specifies diffuse-optical photon-counting constraints.[37][38][41][42]
Proposed first test: Model a frequency-multiplexed diffuse measurement and compare separability and shot-noise-limited estimation to sequential acquisition.
Rank 7/10; fit 7/10 (2 topic overlap + 3 complementarity + 2 feasible first test). New pairing outside the frozen portfolio co-member graph. Tissue scattering and low count rates may erase the proposed mode benefit. Equal scores use existing-first, then stable researcher ID.
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.
Connection 8
Original proposal
Proposal hypothesis: Shefi's neural cultures could supply a controlled geometry for Ozana to assess an optical or acoustic observable, but cerebral perfusion is not a culture-function readout.[8][41][42]
Proposed first test: Write a forward model for one proposed culture observable and compare expected signal change with a realistic noise floor; stop if no observable maps to function.
Rank 8/10; fit 6/10 (2 topic overlap + 3 complementarity + 1 feasible first test). Preserved original co-membership proposal in o05. An added candidate, Amir Weiss (10/10), ranks above this original because its stated pair-specific roles and first test score higher; this original is limited as follows: The original optical role is retained at low feasibility because blood-flow expertise may not transfer to an avascular culture model. No automatic score boost for original membership. Equal scores use existing-first, then stable researcher ID.
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work. Original initiative conditions remain: o05 Nisan Ozana: Conditional role: assess readout feasibility only if a defined optical/acoustic observable maps to the target functional signal in the chosen culture model.
Connection 9
Proposal hypothesis: Ozana's low-light neurophotonics and Zektzer's atomic photonic references offer an exploratory way to distinguish instrument drift from sample change.[41][42][50][51]
Proposed first test: Build a synthetic dual-channel model with common drift and independent sample changes; compare correction bias with a passive reference channel.
Rank 9/10; fit 6/10 (1 topic overlap + 3 complementarity + 2 feasible first test). New pairing outside the frozen portfolio co-member graph. No evidence establishes that an atomic reference addresses Ozana's dominant sensing error. Equal scores use existing-first, then stable researcher ID.
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.
Connection 10
Proposal hypothesis: Ozana can set realistic photon and motion noise limits for Eliahu Cohen's proposed quantum-sensing observable.[41][42][113][114]
Proposed first test: Compare classical and proposed quantum estimation on an identical diffuse-optical noise model and photon budget.
Rank 10/10; fit 6/10 (1 topic overlap + 3 complementarity + 2 feasible first test). New pairing outside the frozen portfolio co-member graph. A quantum advantage is especially uncertain in scattering tissue; this is an explicit falsification test. Equal scores use existing-first, then stable researcher ID.
Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.
10 candidates
Connection 1
Boston University
Original proposal
Boas's official profile covers neurophotonics, fNIRS and neurovascular coupling, complementing Ozana's single-photon and optical-acoustic instrumentation; this is a proposed match only.[41][44][438]
Benchmark simultaneous optical and acoustic channels on tissue phantoms, then consider a separately approved small physiology study.
Rank 1/10 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. Original remains first under these components; original status breaks equal-score ties only, without a prestige bonus.
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
Massachusetts Institute of Technology
Proposed capability match: Nisan Ozana's diffuse optical sensing, cerebral blood-flow measurement can be paired with Gregory Wornell's documented signal processing, statistical inference for hybrid optical-acoustic bedside cerebral perfusion monitor. The specific contribution is joint statistical inference and information constraints; this transfer is an analyst hypothesis.[41][110][503]
Compare full-data inference with task-specific compressed statistics at fixed communication or storage budget using a planned flowing optical phantom with controlled absorption, scattering and acoustic perturbations. Compare estimation error, calibration and bits per valid decision with an optical-only perfusion estimator under matched conditions.
Rank 2/10 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.
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
University of California, Berkeley
Proposed capability match: Nisan Ozana's diffuse optical sensing, cerebral blood-flow measurement can be paired with Jun-Chau Chien's documented biosensors, microfluidics for hybrid optical-acoustic bedside cerebral perfusion monitor. The specific contribution is microfluidic and mixed-signal measurement; this transfer is an analyst hypothesis.[41][436]
Design a two-channel acquisition or microfluidic calibration experiment with a matched blank using a planned flowing optical phantom with controlled absorption, scattering and acoustic perturbations. Compare measurement noise, cross-channel contamination and readout energy with an optical-only perfusion estimator under matched conditions.
Rank 3/10 after semantic revision; analyst score 8 = max(1, 3+3+2): topic overlap 3/4, complementarity 3/3, feasible first test 2/3. The experiment, numerical inputs or identity/scope needs confirmation before execution.
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 4
University of Oxford
Proposed capability match: Nisan Ozana's diffuse optical sensing, cerebral blood-flow measurement can be paired with Yarin Gal's documented Bayesian deep learning, uncertainty estimation for hybrid optical-acoustic bedside cerebral perfusion monitor. The specific contribution is uncertainty and selective prediction; this transfer is an analyst hypothesis.[41][78][452]
Compare uncertainty estimates with calibrated single-model and ensemble baselines under a predefined shift using a planned flowing optical phantom with controlled absorption, scattering and acoustic perturbations. Compare calibration error, risk-coverage and confident-error rate with an optical-only perfusion estimator under matched conditions.
Rank 4/10 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.
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
University of California, Los Angeles
Proposed capability match: Nisan Ozana's diffuse optical sensing, cerebral blood-flow measurement can be paired with Aydogan Ozcan's documented computational imaging, microscopy for hybrid optical-acoustic bedside cerebral perfusion monitor. The specific contribution is computational imaging and quantitative reconstruction; this transfer is an analyst hypothesis.[41][118][482]
Compare conventional reconstruction with a learned inverse model on matched phantom data held out by acquisition condition using a planned flowing optical phantom with controlled absorption, scattering and acoustic perturbations. Compare reconstruction bias, resolution and uncertainty under hardware shift with an optical-only perfusion estimator under matched conditions.
Rank 5/10 after semantic revision; analyst score 8 = max(1, 3+3+2): topic overlap 3/4, complementarity 3/3, feasible first test 2/3. The experiment, numerical inputs or identity/scope needs confirmation before execution.
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
Columbia University
Proposed capability match: Nisan Ozana's diffuse optical sensing, cerebral blood-flow measurement can be paired with Michal Lipson's documented integrated nanophotonics, on-chip modulation for hybrid optical-acoustic bedside cerebral perfusion monitor. The specific contribution is integrated optical modulation and light confinement; this transfer is an analyst hypothesis.[40][41][469]
Simulate a small integrated modulation/interference circuit with realistic propagation loss using a planned flowing optical phantom with controlled absorption, scattering and acoustic perturbations. Compare conversion or routing fidelity, insertion loss and fabrication sensitivity with an optical-only perfusion estimator under matched conditions.
Rank 6/10 after semantic revision; analyst score 7 = max(1, 3+2+2): topic overlap 3/4, complementarity 2/3, feasible first test 2/3. The experiment, numerical inputs or identity/scope needs confirmation before execution.
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 7
University of California, Berkeley
Proposed capability match: Nisan Ozana's diffuse optical sensing, cerebral blood-flow measurement can be paired with Rikky Muller's documented integrated circuits, biosystems for hybrid optical-acoustic bedside cerebral perfusion monitor. The specific contribution is bioelectronic acquisition interfaces; this transfer is an analyst hypothesis.[41][436]
Simulate front-end noise and sampling duty cycle before selecting a sensor interface using a planned flowing optical phantom with controlled absorption, scattering and acoustic perturbations. Compare signal-to-noise ratio and acquisition power with an optical-only perfusion estimator under matched conditions.
Rank 7/10 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.
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 8
Stanford University
Proposed capability match for Nisan Ozana with Stephen Quake: Microfluidic single-particle handling could clarify measurement bias in optical flow sensing; capture efficiency must be linked to the same concentration/flow outcome.[41][487]
Model fluorescent particles traversing a microchannel with known input concentration, flow velocity and detection probability. Compare inferred concentration/flow with and without a simulated isolation stage while holding the downstream optical estimator and input flux fixed; report bias against known truth and sensitivity to particle losses. A physical cell-isolation experiment requires new samples.
Rank 8/10 after semantic revision; analyst score 6 = max(1, 2+2+2): topic overlap 2/4, complementarity 2/3, feasible first test 2/3. Microfluidic single-particle handling could clarify measurement bias in optical flow sensing; capture efficiency must be linked to the same concentration/flow outcome. The experiment, numerical inputs or identity/scope needs confirmation before execution.
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: Microfluidic single-particle handling could clarify measurement bias in optical flow sensing; capture efficiency must be linked to the same concentration/flow outcome. This revised proposal awaits independent targeted re-review; simulated outcomes would establish model behavior only, not biological, clinical or deployed benefit.
Connection 9
Massachusetts Institute of Technology
Proposed capability match for Nisan Ozana with Ed Boyden: Cellular labelling/registration is not directly available in an acellular flow phantom; its connection to the physiological sensing objective remains conditional.[41][440]
Define a separate synthetic labelled-cell imaging benchmark with known cell positions, flow-induced displacements and channel mixing. Compare registration methods on the same rendered image pairs by displacement error and false correspondences. Establish the biological reason for a cellular imaging branch before proposing labels or physical perturbation in a perfusion setup.
Rank 9/10 after semantic revision; analyst score 4 = max(1, 1+2+1): topic overlap 1/4, complementarity 2/3, feasible first test 1/3. Cellular labelling/registration is not directly available in an acellular flow phantom; its connection to the physiological sensing objective remains conditional. The experiment, numerical inputs or identity/scope needs confirmation before execution.
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: Cellular labelling/registration is not directly available in an acellular flow phantom; its connection to the physiological sensing objective remains conditional. This revised proposal awaits independent targeted re-review; simulated outcomes would establish model behavior only, not biological, clinical or deployed benefit.
Connection 10
Carnegie Mellon University
Proposed capability match for Nisan Ozana with Bin He: Multimodal electrophysiological estimation is a separate conditional branch; a flowing optical phantom does not produce electrophysiology or validate neural decoding.[30][41][461]
Create a hypothetical joint optical/electrical forward model driven by one latent physiological oscillation with a declared delay and noise model. Compare optical-only and joint latent-state estimators on the same synthetic episodes against known latent truth. Audit whether simultaneous electrophysiology is scientifically justified and obtainable before any phantom or human validation.
Rank 10/10 after semantic revision; analyst score 4 = max(1, 1+2+1): topic overlap 1/4, complementarity 2/3, feasible first test 1/3. Multimodal electrophysiological estimation is a separate conditional branch; a flowing optical phantom does not produce electrophysiology or validate neural decoding. The experiment, numerical inputs or identity/scope needs confirmation before execution.
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: Multimodal electrophysiological estimation is a separate conditional branch; a flowing optical phantom does not produce electrophysiology or validate neural decoding. This revised proposal awaits independent targeted re-review; simulated outcomes would establish model behavior only, not biological, clinical or deployed benefit.
Nisan Ozana's documented expertise includes optical-acoustical neuroimaging, cerebral blood-flow sensing and single-photon instrumentation. [41][42][43]
High confidenceReview: reviewedA current CV and full patent portfolio were not reviewed.
Hypothesis: Ozana could lead a hybrid optical-acoustic bedside monitor for cerebral perfusion. [41][44]
Low confidenceReview: reviewedDepth, calibration, motion and clinical utility remain unproven.