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aquarium

The Aquarium Lab Operating System

astmviewer

Test program in C# for parsing ASTM1394 Messages and creating object-trees

awesome-pascal

A curated list of awesome Delphi/FreePascal/(any)Pascal frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff. Open source and freeware only!

czitools

This repository provides a collection of tools to simplify reading CZI (Carl Zeiss Image) pixel and metadata in Python. In addition it also contains other useful utilities to visualize CZI images inside Napari.

d11_project

dolibarr

Dolibarr ERP CRM is a modern software package to manage your company or foundation's activity (contacts, suppliers, invoices, orders, stocks, agenda, accounting, ...). It is open source software (written in PHP) and designed for small and medium businesses, foundations and freelancers. You can freely install, use and distribute it as a standalone a

lims

LIMS for dolibarr

miso-lims

MISO: An open-source LIMS for NGS sequencing centres

miso-training-external

napari_zeiss

Use Napari Viewer to display CZI images

objectpascalhandbook104

Object Pascal Handbook for Delphi 10.4 Sydney demos source code

open-serial-port-monitor

Open source application to monitor traffic over a serial port

quality_mis

Методические рекомендации по проведению проверки качества данных в медцииснких информационных системах

sysmex

Driver for analyzer Sysmex XN 350 and Sysmex XN 550

two-step-feature-enhancement

Based on our paper "Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection" published in SN Computer Science

universalis

UniversaLIS is a laboratory information system (LIS) for ASTM/CLSI-compliant clinical laboratory instruments, written in C#. Originally created for Siemens IMMULITE systems, it has been expanded to work with any clinical analyzer that complies with ASTM-1381/1394 or CLSI-LIS1-A/LIS2-A2 specifications. UniversaLIS supports communication with multiple analyzers concurrently using serial and TCP connections.

wave

Realtime Web Apps and Dashboards for Python and R