Archived source — recreation of Seung lab proofreading-annotation empire operation manual (szichieh, 2024). · Open the live original ↗ · Retrieved 2026-05-26. Point-in-time snapshot.

Note: some documents were mentioned multiple times across different sections. Consistent naming was used throughout for easier search and reference.

Human Data HQ_Operation Manual

PU

611 - fly

BANC project:

Complete:

Master sheet - BANC

  1. Current/Future priority (major team):

Note: Segments in the VNC take priority for proofreading over those in the CB, unless otherwise directed by Mala or researchers from Wei’s lab.

For reference: FAFB proofreading strategy -> segments have either more than 100 synapses or at least one connection with ≥ 15

  1. attaching orphan backbones with 500+ synapses in the CB
  2. Trace from seeded neurons in the nerves, this would help to complete proofreading of sensory/motor neurons
  3. Attach orphan backbones with medium synapse threshold (eg. 500-200 synapses)
  4. Review neurons that have poor NBLAST scores, as this is indicative of tracing error   (Note: 611 haven’t done any matching using NBLAST before, additional training may be needed)
  5. Fix priority neurons

  1. Current/Future priority (5 agents: Marion Roda, James Nicle Cano, Michael Mates, Lea Lovely Joy Pelingon, Philip Lenard Ampo):

Sheet - AN/DN matching

  1. Focus on the ones in the list that don’t have a good pair and only do proofreading (rows with “both comparison_root_id_latest” and “comparison_root_id” are 0)
  2. Based on the work of the current five agents and the number of outstanding cells to proofread in the sheet, please decide whether additional agents are needed.

611 - Minnie

Master sheet - Minnie

Note1: Two agents from the CA3 new hires will:

Note2: The Minnie team and the CA3 new hires have slightly different shifts. When the two CA3 new hires begin working in the Minnie sandbox, we can ask if they prefer to switch to the Minnie shift or stay on the CA3 new hire shift. Since the CA3 new hire TL and OIC are familiar with Minnie proofreading, they can continue overseeing these two agents if the agents choose to remain on their original shift.

611 - CA3 (Production: fly agents)

Master sheet - CA3

Complete:

PyC proofreading

Tab: “1.pyramidal_cell_list”

  1. proofreading Pyramidal-Thorny-Extensive axon
  2. proofreading Pyramidal-Little Thorny-Extensive axon
  3. proofreading Pyramidal-Athorny-Extensive axon

Mossy Fiber proofreading

  1. Tab: “4.MFunique_611#1” & “5.MFtoKnownThorny_611#2”

PyC proofreading

Tab: “6.Additional_pyramidal”

  1. proofreading Pyramidal-Thorny-Extensive axon
  2. proofreading Pyramidal-Little Thorny-Extensive axon
  3. proofreading Pyramidal-Athorny-Extensive axon

Current/Future priority:

  1. proofreading Pyramidal-Thorny or Athorny-Minimal axon (Tab: “1.pyramidal_cell_list”)
  2. proofreading Pyramidal-Thorny or Athorny-Minimal axon (Tab: “6.Additional_pyramidal”)
  3. Proofreading Inh (no soma; Tab: “10.inhibitory_axons”)
  4. proofreading Inh-Extensive axon (Tab: “1.pyramidal_cell_list”)
  5. proofreading Inh-Minimal axon (Tab: “1.pyramidal_cell_list”)
  6. proofreading Inh-Extensive axon (Tab: “6.Additional_pyramidal”)
  7. proofreading Inh-Minimal axon (Tab: “6.Additional_pyramidal”)

611 - CA3 New Hire

Complete:

  1. Pinky sandbox (layer: pinky_training1)

Current/Future priority:

  1. Pinky sandbox (layer: pinky_training2)
  2. Pinky sandbox (layer: pinky_training3) => should ask Akhilesh to create this set.
  3. Admit trainee based on their proofreading ability (Production admission checklist - mouse)
  1. Add trainees who get into Prod. in the 611 daily stats - mouse sheet
  2. The PI/Lab Head added in the admission panel): Sebastian Seung Lab
  1. Join the proofreading priority with 611 - CA3 (Production: fly agents) team.

Common gmail (G drive) for proofreading/annotating team

List of 611 managing personnel (TL + OIC)

Operation Manager: Nats Feria (team leads’ supervisor)

        Email: rferia@sixelevencenter.com

        Slack: https://flywire-forum.slack.com/team/U05FS3R2MCH

Team Lead & OIC:

TL: @Queendolyn Pama @Jet @John Raphael Toledo @Michelle Pantujan

OIC: @Joshua Bautista Bañez @Ramor @mark lloyd @Nelskie @Raffy Acosta

TL: @Mai Dumale 

OIC: @AL

TL: @Rei

OIC: @El

General info about 611 training

=> I provide some of the above data to TL and OIC on a weekly basis to tailor proofreading training plans. Additionally, we utilize this data along with insights from TL and OIC to manage a rolling base admission into Production, as detailed in the “Production Admission Checklist.”

Other Relevant Documents:

Production admission checklist - fly

Production admission checklist - mouse

611 daily stats - fly

611 daily stats - mouse

611 Trainee Candidate_EW pre-screening scores (both mouse and fly)

CA3 training related:

Who should you reach?

  1. Production Admission: Marissa 

Currently I have:

  1. EM Compression and Asia Storage: Will

Here are the previous setups for reference:

  1. Make a sandbox/training copy: Akhilesh
  1. If something is urgent and you don't hear from him on any channels, just send him a direct message and he will check.
  2. General practice: when the dataset is huge (e.g. Minnie), we revert the edits. When the dataset is small (e.g. Pinky), we make a copy directly.
  1. Stats & Training score calculation: Jay

Current Meetings:

* Note: The Philippines doesn’t have daylight saving time. The time listed below is from daylight saving. It will change in the winter when changed to standard time.

Individual meeting:

Group meetings for each team:

Current meeting content:

Miscellaneous:

About the Future

(This was Szi-chieh’s little wonderland. 😂 )

Objective: Transform the 611 new proofreader training into a more systematic and replicable process.

  1. Refine Current Training Checklist: Continuously refine training checklist to ensure all essential tasks and procedures for preparing, executing, and following up with new training cohorts stay aligned with evolving needs. For example, here is one from the CA3 training (Proofreading training checklist)
  2. Refine Proofreading Teaching Curriculum: CA3 training curriculum example
  3. Refine Teaching Documentation
  4. Design Practical Training Exercises: Develop specific practice examples for trainees that align with the teaching topics, enhancing hands-on learning and application of concepts.
  5. Automate Performance Monitoring: Aim to automate the generation of weekly performance statistics and graphs.
  1. Training Analysis Shared with Team Lead: This includes individual cell completion rates, average scores and weekly improvement to spot any declines in proofreading and enable early intervention with additional training. Here’s an example of the data Szi-chieh shares with the TL and OIC weekly to help customize proofreading training and make decisions on Production admissions. Currently, the script (FW training score analysis) is run manually. We could automate it, so the script runs on its own and the plots and analysis are automatically added to the slide deck above.
  2. For Monitoring Performance:
  1. NeuVue development:
  1. Automate Proofreader Training: Explore the possibilities using LLM for proofreader training to automate the training process. (I think this project would be really fun and beneficial!)