Deliverables and Milestones

WP1: Eye diseases and vision

Deliverable	Title	Description	Beneficiary	Type	Due date (Month)
D1.1	Eye-tracking records	Eye-tracking records of healthy patients and with visual disorders	IMO	DATA	25
D1.2	MSI-based system	MSI-based system for spectral fundus imaging	UPC	DEM	25
D1.3	Retinal records	Datasets with retinal cells records	SU	DATA	27
D1.4	TMV system	System for non-contact mapping of biomechanical properties	NCU	DEM	36
D1.5	Software for visual evaluation	New objective clinical tools (software library) to evaluate the oculomotor function and diagnose visual anomalies	IMO	OTHER	45
D1.6	Retinal model	Quantitative modelling of the retinal network	SU	OTHER	45
D1.7	Retinal images and algorithms	Fundus images, retinal oxygenation maps and DL algorithms for differential diagnosis	UPC	OTHER	46
D1.8	Biomechanics algorithm	ML algorithm to predict biomechanical parameters in scattering tissue and demonstration on ocular tissues	NCU	OTHER	46

WP2: Cardiovascular diseases

Deliverable	Title	Description	Beneficiary	Type	Due date (Month)
D2.1	Preprocessing algorithms	Algorithms for super-resolution and deblurring	PG	OTHER	24
D2.2	Algorithms for MSOT	Algorithms for automatic segmentation and quality improvement for carotid MSOT images	UZH	OTHER	24
D2.3	ML model for heart dynamics	Data driven model using ML to control complex spatial-temporal dynamics underlying arrhythmias	MPI	OTHER	29
D2.4	Fluorescence imaging system	Fluorescence imaging system for Langendorff-perfused optogenetic murine hearts and cardiac cell cultures	MPI	DEM	36
D2.5	Algorithm for biomarker extraction	DL method for quantitative biomarker extraction from carotid artery and vessel wall	UZH	OTHER	41
D2.6	Multimodal images	Database of face multimodal images and skin vascularization maps	PG	DATA	45
D2.7	Performance of new warning indicators	Quantification of the performance of new features (warning indicators) extracted from electrophysiological data	UPC	R	45
D2.8	ML algorithms for the analysis of electrophysiological data	ML algorithms for the analysis of electrophysiological data able to perform reliable quantification of the risk of critical transitions	UPC	OTHER	45
D2.9	Optogenetic methods	Simulations and experiments with optogenetic methods enabling control strategies for cardiac arrhythmias	MPI	OTHER	45

WP3: Advanced microscopy for the analysis of cells and tissues involved in the development of diseases

Deliverable	Title	Description	Beneficiary	Type	Due date (Month)
D3.1	SOFI algorithms	ML algorithms to improve SOFI	UGOE	R	30
D3.2	ONE analysis procedures	Functional analysis procedures based on ONE imaging of cerebrospinal fluid samples	UMG	R	36
D3.3	Confocal/STED images	Images of cells and tissue using confocal / superresolution microscopy	FSJD	DATA	36
D3.4	Software for SOFI	Graphical user interface for ML-SOFI	UGOE	OTHER	45
D3.5	Study of Parkinson’s disease samples	Effective analysis of serum Parkinson’s disease samples	UMG	R	45
D3.6	Software for confocal/STED	Software for sample image interpretation	FSJD	OTHER	45

WP4 and WP5: Management, Training, Recruitment and Dissemination Deliverables

Deliverable	Title	Description	Beneficiary	Type	Due date (Month)
D5.1	Brochure and video 1	Brochure and video (for general public) describing research goals	UPC	DEC	3
D5.3	Brochure and video 2	Brochure and video (for general public) describing research progress	UPC	DEC	31
D5.4	Videos for scientific community	Videos for scientific community (3) demonstrating the achievements in WP1, WP2 and WP3 projects.	SU/MPI/UMG	DEC	46
D5.5	Brochure and video 3	Brochure and video (for general public) describing the BE-LIGHT achievements	UPC	DEC	48
D5.7	Website	Project Website	UPC	DEC	2

Milestones

Milestone	Title	Means of verification	Beneficiary	Due date (Month)
M1	Eye-tracking records of patients with visual disorders	Data collected	IMO	23
M2	Functional module for acoustic / mechanical stimulation	Module implemented	NCU	25
M3	Collection of retinal cells records	Data collected and checked	SU	27
M4	Spectral fundus images and other records of patients with ocular diseases	Images collected	UPC	36
M5	Images from carotid artery patients	Data collected and processed	UZH	24
M6	First set of facial skin images and decision of methods for preprocessing	Images acquired and methodology decided	PG	25
M7	Identification of the optimal approach for defining meaningful lag times in cardiac multivariate datasets	Lag-times defined	UPC	33
M8	Selection of most effective model for controlling complex spatial-temporal dynamics of arrhythmias and delivery of fluorescence imaging system for optogenetics experiments	System operational	MPI	35
M9	Assessment of fluorescent labels for SOFI	Labels identified and characterized	UGOE	27
M10	Assessment of the use of nanobody-based ONE imaging for automated Parkinson’s disease analyses, based on cerebrospinal fluid samples	Images acquired and methodology tested	UMG	29
M11	Markers and settings to use for STED microscopy	Confocal images acquired and methodology decided	FJSD	36
M12	Assessment of the use of blood or serum human samples for Parkinson’s disease analyses in ONE imaging	Images acquired and methodology tested	UMG	41