{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:7ZIB52OM66XQ33IG3TKK4GX7TJ","short_pith_number":"pith:7ZIB52OM","canonical_record":{"source":{"id":"2303.03793","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.optics","submitted_at":"2023-03-07T11:01:08Z","cross_cats_sorted":["eess.IV","physics.app-ph","physics.bio-ph"],"title_canon_sha256":"84ce7d8090c61bed46d9865f7905e4e12e8287a2589af9afc41015e1a929e0ec","abstract_canon_sha256":"ab7275bafe414e5832bf4c28f4108e86ed33f5fdde9b8bdebe567c362541280e"},"schema_version":"1.0"},"canonical_sha256":"fe501ee9ccf7af0ded06dcd4ae1aff9a621870821029e87c56314b4dd579d44d","source":{"kind":"arxiv","id":"2303.03793","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.03793","created_at":"2026-07-05T05:48:59Z"},{"alias_kind":"arxiv_version","alias_value":"2303.03793v1","created_at":"2026-07-05T05:48:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.03793","created_at":"2026-07-05T05:48:59Z"},{"alias_kind":"pith_short_12","alias_value":"7ZIB52OM66XQ","created_at":"2026-07-05T05:48:59Z"},{"alias_kind":"pith_short_16","alias_value":"7ZIB52OM66XQ33IG","created_at":"2026-07-05T05:48:59Z"},{"alias_kind":"pith_short_8","alias_value":"7ZIB52OM","created_at":"2026-07-05T05:48:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:7ZIB52OM66XQ33IG3TKK4GX7TJ","target":"record","payload":{"canonical_record":{"source":{"id":"2303.03793","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.optics","submitted_at":"2023-03-07T11:01:08Z","cross_cats_sorted":["eess.IV","physics.app-ph","physics.bio-ph"],"title_canon_sha256":"84ce7d8090c61bed46d9865f7905e4e12e8287a2589af9afc41015e1a929e0ec","abstract_canon_sha256":"ab7275bafe414e5832bf4c28f4108e86ed33f5fdde9b8bdebe567c362541280e"},"schema_version":"1.0"},"canonical_sha256":"fe501ee9ccf7af0ded06dcd4ae1aff9a621870821029e87c56314b4dd579d44d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:48:59.536388Z","signature_b64":"DozEvPh2LtnRGgyT4z3jQ0kmLKO9F/yBa003QMKFZEkvvMVgik5k7t0PYIdrGfZEPwgwBcdpvwbVnHbhkiW2BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fe501ee9ccf7af0ded06dcd4ae1aff9a621870821029e87c56314b4dd579d44d","last_reissued_at":"2026-07-05T05:48:59.535965Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:48:59.535965Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.03793","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:48:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dH1bkVoIm2QMDCItgs+EoVycwlqd2oMmPFm2ypZpSNxyBCl/LYMOBOcG4jDX8FQzXDG6g/eG/ExPCPDREFjlCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T06:32:33.869569Z"},"content_sha256":"6e18eb68bdac3425a44deee39c188522a2bb9b0ba052e603b720b816617d317d","schema_version":"1.0","event_id":"sha256:6e18eb68bdac3425a44deee39c188522a2bb9b0ba052e603b720b816617d317d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:7ZIB52OM66XQ33IG3TKK4GX7TJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Roadmap on Deep Learning for Microscopy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV","physics.app-ph","physics.bio-ph"],"primary_cat":"physics.optics","authors_text":"Antoni Homs-Corbera, Arlo Sheridan, Arrate Mu\\~noz-Barrutia, Artur Yakimovich, Aydogan Ozcan, Aykut Argun, Barbora \\v{S}pa\\v{c}kov\\'a, Benjamin Midtvedt, Beth A Cimini, Bijie Bai, Bruno M. Saraiva, Carlo Manzo, Carolina W\\\"ahlby, Caroline Beck Adiels, Christopher A. Metzler, Christoph Langhammer, Damian Matuszewski, Daniel Brunner, Daniel Midtvedt, Daniel Sage, D\\'aniel Ver\\'eb, Ebba Josefson Lindqvist, Elias Nehme, Erik Selander, Estibaliz G\\'omez-de-Mariscal, Frank Cichos, Giovanni Volpe, Guillaume Jacquemet, Gustaf Kylberg, Halina Rubinsztein-Dunlop, Hao Wang, Harshith Bachimanchi, Henrik K. Moberg, Ida-Maria Sintorn, Isaac C.D. Lenton, Ivo F. Sbalzarini, Jason T. Smith, Jesus Pineda, Joakim Lindblad, Joana B. Pereira, Johanna Bergman, Juan C. Caicedo, Kevin De Haan, Kevin Zhang, Kristina Monakhova, Lars Hubatsch, Laura Waller, Lei Tian, Li-Yu Yu, Margarida Barroso, Marien Ochoa, Martin Fr\\\"anzl, Maxim A. Ziatdinov, Michael Hecht, Mingyang Xie, Mite Mijalkov, Muyinatu A. Lediju Bell, Nata\\v{s}a Sladoje, Ofri Goldenberg, Ricardo Henriques, Saga Helgadottir, Sergei V. Kalinin, Sixian You, Stefano Bo, Tobias Thalheim, Tong Qiu, Trang Le, Uri Manor, Wei Ouyang, Xavier Intes, Yair Rivenson, Yoav Shechtman, Yongtao Liu, Yu-Wei Chang, Zofia Korczak","submitted_at":"2023-03-07T11:01:08Z","abstract_excerpt":"Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasing resolution and throughput. Artificial intelligence, deep neural networks, and machine learning are all niche terms describing computational methods that have gained a pivotal role in microscopy-based research over the past decade. This Roadmap is written collectively by prominent researchers and encompasses selected aspects of how machine learning is applied to microscopy image data, with the aim of gaining scienti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.03793","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2303.03793/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:48:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WTkYEY1Kmwc01ifJq1d/5Ix/5eWkcEitiBx/IlZASnBYNA9HBE6gFuY00UK/zmWzLgejbRuE2AEDmdb2lKwDBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T06:32:33.870097Z"},"content_sha256":"8557581114cc56ecc85aed0d0b92c31ef9af556e3ea5fcccc1f4af4b2f195aed","schema_version":"1.0","event_id":"sha256:8557581114cc56ecc85aed0d0b92c31ef9af556e3ea5fcccc1f4af4b2f195aed"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7ZIB52OM66XQ33IG3TKK4GX7TJ/bundle.json","state_url":"https://pith.science/pith/7ZIB52OM66XQ33IG3TKK4GX7TJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7ZIB52OM66XQ33IG3TKK4GX7TJ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T06:32:33Z","links":{"resolver":"https://pith.science/pith/7ZIB52OM66XQ33IG3TKK4GX7TJ","bundle":"https://pith.science/pith/7ZIB52OM66XQ33IG3TKK4GX7TJ/bundle.json","state":"https://pith.science/pith/7ZIB52OM66XQ33IG3TKK4GX7TJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7ZIB52OM66XQ33IG3TKK4GX7TJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:7ZIB52OM66XQ33IG3TKK4GX7TJ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ab7275bafe414e5832bf4c28f4108e86ed33f5fdde9b8bdebe567c362541280e","cross_cats_sorted":["eess.IV","physics.app-ph","physics.bio-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.optics","submitted_at":"2023-03-07T11:01:08Z","title_canon_sha256":"84ce7d8090c61bed46d9865f7905e4e12e8287a2589af9afc41015e1a929e0ec"},"schema_version":"1.0","source":{"id":"2303.03793","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.03793","created_at":"2026-07-05T05:48:59Z"},{"alias_kind":"arxiv_version","alias_value":"2303.03793v1","created_at":"2026-07-05T05:48:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.03793","created_at":"2026-07-05T05:48:59Z"},{"alias_kind":"pith_short_12","alias_value":"7ZIB52OM66XQ","created_at":"2026-07-05T05:48:59Z"},{"alias_kind":"pith_short_16","alias_value":"7ZIB52OM66XQ33IG","created_at":"2026-07-05T05:48:59Z"},{"alias_kind":"pith_short_8","alias_value":"7ZIB52OM","created_at":"2026-07-05T05:48:59Z"}],"graph_snapshots":[{"event_id":"sha256:8557581114cc56ecc85aed0d0b92c31ef9af556e3ea5fcccc1f4af4b2f195aed","target":"graph","created_at":"2026-07-05T05:48:59Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2303.03793/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasing resolution and throughput. Artificial intelligence, deep neural networks, and machine learning are all niche terms describing computational methods that have gained a pivotal role in microscopy-based research over the past decade. This Roadmap is written collectively by prominent researchers and encompasses selected aspects of how machine learning is applied to microscopy image data, with the aim of gaining scienti","authors_text":"Antoni Homs-Corbera, Arlo Sheridan, Arrate Mu\\~noz-Barrutia, Artur Yakimovich, Aydogan Ozcan, Aykut Argun, Barbora \\v{S}pa\\v{c}kov\\'a, Benjamin Midtvedt, Beth A Cimini, Bijie Bai, Bruno M. Saraiva, Carlo Manzo, Carolina W\\\"ahlby, Caroline Beck Adiels, Christopher A. Metzler, Christoph Langhammer, Damian Matuszewski, Daniel Brunner, Daniel Midtvedt, Daniel Sage, D\\'aniel Ver\\'eb, Ebba Josefson Lindqvist, Elias Nehme, Erik Selander, Estibaliz G\\'omez-de-Mariscal, Frank Cichos, Giovanni Volpe, Guillaume Jacquemet, Gustaf Kylberg, Halina Rubinsztein-Dunlop, Hao Wang, Harshith Bachimanchi, Henrik K. Moberg, Ida-Maria Sintorn, Isaac C.D. Lenton, Ivo F. Sbalzarini, Jason T. Smith, Jesus Pineda, Joakim Lindblad, Joana B. Pereira, Johanna Bergman, Juan C. Caicedo, Kevin De Haan, Kevin Zhang, Kristina Monakhova, Lars Hubatsch, Laura Waller, Lei Tian, Li-Yu Yu, Margarida Barroso, Marien Ochoa, Martin Fr\\\"anzl, Maxim A. Ziatdinov, Michael Hecht, Mingyang Xie, Mite Mijalkov, Muyinatu A. Lediju Bell, Nata\\v{s}a Sladoje, Ofri Goldenberg, Ricardo Henriques, Saga Helgadottir, Sergei V. Kalinin, Sixian You, Stefano Bo, Tobias Thalheim, Tong Qiu, Trang Le, Uri Manor, Wei Ouyang, Xavier Intes, Yair Rivenson, Yoav Shechtman, Yongtao Liu, Yu-Wei Chang, Zofia Korczak","cross_cats":["eess.IV","physics.app-ph","physics.bio-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.optics","submitted_at":"2023-03-07T11:01:08Z","title":"Roadmap on Deep Learning for Microscopy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.03793","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:6e18eb68bdac3425a44deee39c188522a2bb9b0ba052e603b720b816617d317d","target":"record","created_at":"2026-07-05T05:48:59Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"ab7275bafe414e5832bf4c28f4108e86ed33f5fdde9b8bdebe567c362541280e","cross_cats_sorted":["eess.IV","physics.app-ph","physics.bio-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.optics","submitted_at":"2023-03-07T11:01:08Z","title_canon_sha256":"84ce7d8090c61bed46d9865f7905e4e12e8287a2589af9afc41015e1a929e0ec"},"schema_version":"1.0","source":{"id":"2303.03793","kind":"arxiv","version":1}},"canonical_sha256":"fe501ee9ccf7af0ded06dcd4ae1aff9a621870821029e87c56314b4dd579d44d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fe501ee9ccf7af0ded06dcd4ae1aff9a621870821029e87c56314b4dd579d44d","first_computed_at":"2026-07-05T05:48:59.535965Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:48:59.535965Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DozEvPh2LtnRGgyT4z3jQ0kmLKO9F/yBa003QMKFZEkvvMVgik5k7t0PYIdrGfZEPwgwBcdpvwbVnHbhkiW2BA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:48:59.536388Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.03793","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6e18eb68bdac3425a44deee39c188522a2bb9b0ba052e603b720b816617d317d","sha256:8557581114cc56ecc85aed0d0b92c31ef9af556e3ea5fcccc1f4af4b2f195aed"],"state_sha256":"3a96973e2f0ec2035088ad86f905b5540a51ceded1d2499fc33a34367b8b0660"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lSbycVn0yoT+XteVPSlJpT2LdbsEbDrcYVwq3m8XXiXzg/y8mJM99HBgXroEF+ORn/BSBdZ0XXYwitVYfgxjCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T06:32:33.874107Z","bundle_sha256":"61de3606ac40dbb8ef86b81f781cc639e8ac1e0fb9481d702f9b23a86ffe75af"}}