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Getting Started

Welcome to the Biomedical Image Processing Workspace. This guide walks you through account setup, the workspace interface, and basic navigation.

Overview

The workspace provides a complete environment for biomedical image analysis:

  • Segmentation — Train U-Net models to identify structures in microscopy images
  • Denoising — Remove noise using deep learning (N2V, autoStructN2V) or filters
  • Annotation — Create training data with brush-based labeling tools
  • Mesh Generation — Convert segmentation results to 3D surface meshes
  • Visualization — Explore 3D meshes interactively
  • Image Viewing — Browse and inspect TIFF stacks

Account Setup

Registration

To create an account, click the Register tab on the welcome page.

Required Fields:

FieldRequirements
Username3-20 characters, letters, numbers, and underscores only
EmailValid email address
PasswordMinimum 8 characters
Confirm PasswordMust match password
Full NameYour name (displayed in workspace)
InstitutionYour university, research institute, or organization

After submitting, your account is created with pending status.

Account Approval Workflow

New accounts require administrator approval for full access:

StatusWhat You Can Do
PendingLog in, explore the workspace, use built-in test data, train models and run inference with test data
ActiveFull access: upload custom files, import models, all features
RejectedCannot log in (contact administrator)

Note: You can start using the workspace immediately with test data while waiting for approval. You'll be notified once your account is approved for custom uploads.

Login

Enter your username and password on the Login tab. After successful login:

  • New users: Redirected to the workspace
  • Returning users: See "Welcome back" message with "Launch Workspace" button

Welcome Page

The welcome page is your entry point to the application.

Welcome Page LayoutWelcome page elements

For New/Logged-Out Users

ElementLocationDescription
Login TabCenterEnter credentials to access workspace
Register TabCenterCreate a new account
Theme ToggleTop-leftSwitch between light and dark mode
Partner LogosTop-rightPhysics of Parasitism and DFG logos

For Logged-In Users

ElementDescription
Welcome Message"Welcome back, [Your Name]"
Launch WorkspaceButton to enter the main workspace
LogoutEnd your session
Admin DashboardLink to admin panel (administrators only)

Workspace Layout

The workspace uses a three-panel layout:

Workspace LayoutThe main workspace interface

The sidebar provides workspace controls and navigation.

User Info Section

ElementDescription
AvatarUser icon
NameYour full name or username
Status Badge"Approved" or "Pending"
Logout ButtonExit icon to end session

Workspace Section

ElementDescription
"Workspace" HeaderWith help icon (click for documentation)
Download ButtonDownload entire workspace as ZIP
StatsFile count and total size

File Browser Section

Browse and manage files in your workspace. See the File Browser Guide for details.

ElementDescription
Back to HubReturn from a module to the main view
Theme ToggleSun/moon icon for light/dark mode

Click the hamburger menu (three lines) at the top-left to collapse or expand the sidebar.


Main Content Area (Hub)

The hub displays available processing modules as cards in a grid.

Module CardsModule cards in the workspace hub

Module Card Anatomy

Each card contains:

ElementDescription
IconVisual identifier for the module
NameModule title (e.g., "U-Net Segmentation")
DescriptionBrief explanation of functionality
Inputs/OutputsWhat data the module accepts and produces
Launch ButtonClick to enter the module
Help IconQuestion mark — opens help panel for this module

Available Modules

ModuleDescription
U-Net SegmentationTrain models and segment images
DenoisingRemove noise (offers two options: Deep Learning or Filter-Based)
Quick Annotation ToolCreate training annotations with brush tools
Image ViewerBrowse TIFF stacks in gallery or thumbnail view
Surface Mesh GenerationConvert segmentation to 3D meshes
3D VisualizationInteractive mesh viewer

Special: The Denoising card shows two launch buttons side-by-side: "Deep Learning" (N2V/autoStructN2V) and "Filter-Based" (Gaussian/NLM).


Right Info Panel (Help System)

The help panel provides documentation and guidance.

Info PanelThe help panel with search, glossary, and articles

Opening the Help Panel

  • Click the ? toggle button on the right edge of the screen
  • Or click any help icon throughout the interface

Help Panel Features

TabDescription
SearchFull-text search across all articles
GlossaryAlphabetical terminology definitions
Article ViewDetailed documentation on selected topic

For more details, see the Help & Info Guide.


Launching a Module

  1. Find the module card in the hub
  2. Click Launch Module (or the specific option for Denoising)
  3. The hub view hides and the module interface appears
  4. Follow the step-by-step workflow within the module

Module ViewInside a module with step navigation

Step Navigation

Most modules guide you through steps:

ElementDescription
Step IndicatorsShows current step and progress
Next/Previous ButtonsNavigate between steps
Step ContentCurrent step's interface

Returning to Hub

To exit a module and return to the main hub:

  1. Click Back to Hub in the sidebar footer
  2. The module closes and the hub reappears
  3. Your progress may be saved depending on the module

Theme Toggle

Switch between light and dark mode:

  1. Click the sun/moon icon in the sidebar footer
  2. The interface updates immediately
  3. Your preference is saved and persists across sessions
ModeDescription
LightWhite background, dark text (default)
DarkDark background, light text

Quick Reference

Keyboard Shortcuts

The workspace primarily uses mouse/touch navigation. Module-specific shortcuts are documented in each module guide.

Key Locations

ActionLocation
LogoutSidebar → User Info section
Download WorkspaceSidebar → Workspace section
Return to HubSidebar → Footer
Theme ToggleSidebar → Footer
Open HelpRight edge toggle or any help icon
Launch ModuleHub → Module card

Part of DFG Priority Programme SPP2332 "Physics of Parasitism"