Gerald M. Rubin, Ashburn, United States of America

HHMI Janelia Research Campus FlyEM

Moderator Of 1 Session

11.07.2020, Saturday 09:00 - 11:30 Hall L Technical Workshop
Date
11.07.2020, Saturday
Session Time
09:00 - 11:30
Session Description
People who plan electron microscopy connectomics tend to underestimate the sheer amount of work required after serial section images are obtained. Here technical challenges and solutions for the fly connectome projects with transmission and focused ion beam scanning EM will be reported and shared with the people working on diverse organisms. Timing is ideal, because a series of FIB-SEM connectome papers will be published just before the Forum. To promote communication we provide ten minute discussion for each talk. S. Plaza established a computational platform for analyzing EM section images and visualizing/annotating the traced data. M. Januszewski developed the first automated neuron segmentation algorithm that works with reliable precision, which was a breakthrough for FIB-SEM analysis. A. Cardona established a platform for cooperative manual segmentation/annotation and organized a large collaborative project. R. Parekh trained and coordinated a team of tens of technicians who segment, proofread, and annotate data of both TEM and FIB-SEM with high throughput. H. Otsuna developed systems for finding homologous neurons between EM and light microscopy images, making it possible to switch EM and LM analyses freely. (The proposal might conflict with the FENS policy in that 3 speakers come from a single institute. It is inevitable given that all the large-scale fly EM connectomics are done at Janelia. We appreciate your flexible evaluation in this regard for this rare occasion.)

Author Of 3 Presentations

Parallel Symposium

The olfactory connectome of the adult fly: insights into integration, memory, and descending control (ID 989)

Abstract

Abstract Body

The olfactory circuits enabling flies to navigate their environment have been intensively studied, in particular the initial path from sensory input to higher olfactory centres, the lateral horn (LH) and mushroom body (MB) and their roles in innate and learned behaviour, respectively. However, the lack of whole brain datasets at synaptic resolution have made it difficult to follow these circuit beyond the LH and MB at scale and understand how olfactory signals are processed in the downstream network and how its output directs locomotion.

A global consortium including groups in Cambridge, Oxford, and Janelia have been collaborating since late 2016 to build a connectome of olfactory memory circuits in the adult, using a whole brain EM volume (Zheng et al., 2018) and the more recently available hemibrain (Xu et al., 2020).

I will illustrate some unexpected circuit features these connectomes have revealed, including directed axo-axonic connectivity, multiple layers of signal integration and distributed downstream connectivity. In addition, I will show how leveraging 2 datasets has enabled us to start to understand developmental variation and its effects in stereotypy of morphology, connections and whole circuits.

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