curl --request POST \
--url https://api.example.com/api/predict/tissue-seg \
--header 'Content-Type: application/json' \
--data '
{
"height": 123,
"image_data": "<string>",
"patch_idx": 123,
"slide_name": "<string>",
"width": 123,
"x": 123,
"y": 123,
"bulk_rna": [
123
],
"resolution": 123,
"tissue_ratio": 123
}
'import requests
url = "https://api.example.com/api/predict/tissue-seg"
payload = {
"height": 123,
"image_data": "<string>",
"patch_idx": 123,
"slide_name": "<string>",
"width": 123,
"x": 123,
"y": 123,
"bulk_rna": [123],
"resolution": 123,
"tissue_ratio": 123
}
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({
height: 123,
image_data: '<string>',
patch_idx: 123,
slide_name: '<string>',
width: 123,
x: 123,
y: 123,
bulk_rna: [123],
resolution: 123,
tissue_ratio: 123
})
};
fetch('https://api.example.com/api/predict/tissue-seg', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.example.com/api/predict/tissue-seg",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'height' => 123,
'image_data' => '<string>',
'patch_idx' => 123,
'slide_name' => '<string>',
'width' => 123,
'x' => 123,
'y' => 123,
'bulk_rna' => [
123
],
'resolution' => 123,
'tissue_ratio' => 123
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.example.com/api/predict/tissue-seg"
payload := strings.NewReader("{\n \"height\": 123,\n \"image_data\": \"<string>\",\n \"patch_idx\": 123,\n \"slide_name\": \"<string>\",\n \"width\": 123,\n \"x\": 123,\n \"y\": 123,\n \"bulk_rna\": [\n 123\n ],\n \"resolution\": 123,\n \"tissue_ratio\": 123\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.example.com/api/predict/tissue-seg")
.header("Content-Type", "application/json")
.body("{\n \"height\": 123,\n \"image_data\": \"<string>\",\n \"patch_idx\": 123,\n \"slide_name\": \"<string>\",\n \"width\": 123,\n \"x\": 123,\n \"y\": 123,\n \"bulk_rna\": [\n 123\n ],\n \"resolution\": 123,\n \"tissue_ratio\": 123\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.example.com/api/predict/tissue-seg")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n \"height\": 123,\n \"image_data\": \"<string>\",\n \"patch_idx\": 123,\n \"slide_name\": \"<string>\",\n \"width\": 123,\n \"x\": 123,\n \"y\": 123,\n \"bulk_rna\": [\n 123\n ],\n \"resolution\": 123,\n \"tissue_ratio\": 123\n}"
response = http.request(request)
puts response.read_body{
"height": 123,
"output": [
123
],
"patch_idx": 123,
"slide_name": "<string>",
"width": 123,
"x": 123,
"y": 123,
"embedding": [
123
],
"resolution": 123,
"tissue_ratio": 123
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"ctx": {},
"input": "<unknown>"
}
]
}tissue-seg prediction
curl --request POST \
--url https://api.example.com/api/predict/tissue-seg \
--header 'Content-Type: application/json' \
--data '
{
"height": 123,
"image_data": "<string>",
"patch_idx": 123,
"slide_name": "<string>",
"width": 123,
"x": 123,
"y": 123,
"bulk_rna": [
123
],
"resolution": 123,
"tissue_ratio": 123
}
'import requests
url = "https://api.example.com/api/predict/tissue-seg"
payload = {
"height": 123,
"image_data": "<string>",
"patch_idx": 123,
"slide_name": "<string>",
"width": 123,
"x": 123,
"y": 123,
"bulk_rna": [123],
"resolution": 123,
"tissue_ratio": 123
}
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({
height: 123,
image_data: '<string>',
patch_idx: 123,
slide_name: '<string>',
width: 123,
x: 123,
y: 123,
bulk_rna: [123],
resolution: 123,
tissue_ratio: 123
})
};
fetch('https://api.example.com/api/predict/tissue-seg', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.example.com/api/predict/tissue-seg",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'height' => 123,
'image_data' => '<string>',
'patch_idx' => 123,
'slide_name' => '<string>',
'width' => 123,
'x' => 123,
'y' => 123,
'bulk_rna' => [
123
],
'resolution' => 123,
'tissue_ratio' => 123
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.example.com/api/predict/tissue-seg"
payload := strings.NewReader("{\n \"height\": 123,\n \"image_data\": \"<string>\",\n \"patch_idx\": 123,\n \"slide_name\": \"<string>\",\n \"width\": 123,\n \"x\": 123,\n \"y\": 123,\n \"bulk_rna\": [\n 123\n ],\n \"resolution\": 123,\n \"tissue_ratio\": 123\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.example.com/api/predict/tissue-seg")
.header("Content-Type", "application/json")
.body("{\n \"height\": 123,\n \"image_data\": \"<string>\",\n \"patch_idx\": 123,\n \"slide_name\": \"<string>\",\n \"width\": 123,\n \"x\": 123,\n \"y\": 123,\n \"bulk_rna\": [\n 123\n ],\n \"resolution\": 123,\n \"tissue_ratio\": 123\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.example.com/api/predict/tissue-seg")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n \"height\": 123,\n \"image_data\": \"<string>\",\n \"patch_idx\": 123,\n \"slide_name\": \"<string>\",\n \"width\": 123,\n \"x\": 123,\n \"y\": 123,\n \"bulk_rna\": [\n 123\n ],\n \"resolution\": 123,\n \"tissue_ratio\": 123\n}"
response = http.request(request)
puts response.read_body{
"height": 123,
"output": [
123
],
"patch_idx": 123,
"slide_name": "<string>",
"width": 123,
"x": 123,
"y": 123,
"embedding": [
123
],
"resolution": 123,
"tissue_ratio": 123
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"ctx": {},
"input": "<unknown>"
}
]
}Body
Payload sent to the model endpoint for a single tile.
The tile image is base64-encoded for JSON transport. Bulk RNA counts can optionally be included for multimodal models.
Attributes: image_data: Base64-encoded tile image (PNG). bulk_rna: Optional bulk RNA counts vector. slide_name: Stem of the source slide filename. x: Tile x-coordinate in the slide. y: Tile y-coordinate in the slide. width: Tile width in pixels. height: Tile height in pixels. tissue_ratio: Fraction of tissue in the tile. patch_idx: Index of this tile in the extraction plan.
Response
Successful Response
Payload returned by the model endpoint for a single tile.
Carries the model output together with the full tile metadata from the originating request, so that downstream writers can persist everything without needing a separate schema.
Attributes:
output: Model output vector for this tile.
slide_name: Stem of the source slide filename.
x: Tile x-coordinate in the slide.
y: Tile y-coordinate in the slide.
width: Tile width in pixels.
height: Tile height in pixels.
tissue_ratio: Fraction of tissue in the tile.
patch_idx: Index of this tile in the extraction plan.
resolution: Extraction resolution (MPP) if available.
embedding: The tile embedding, returned alongside output only for
the prediction_with_embedding mode (both come from the same
forward pass). None for the single-output modes.

